Clustering with DBSCAN, Clearly Explained!!!

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  • Опубликовано: 2 янв 2025

Комментарии • 487

  • @statquest
    @statquest  2 года назад +15

    Support StatQuest by buying my book The StatQuest Illustrated Guide to Machine Learning or a Study Guide or Merch!!! statquest.org/statquest-store/

  • @SPLICY
    @SPLICY 3 года назад +133

    I'm a simple person. I see a new StatQuest video, I click.

  • @anniesteenson2379
    @anniesteenson2379 2 года назад +107

    Josh is the best at explaining complex statistics and machine learning topics!

    • @statquest
      @statquest  2 года назад +4

      Wow, thanks!

    • @DamianThurton
      @DamianThurton 6 дней назад

      Excuse me, I’d appreciate your help with my problem-could you assist? my OKX wallet holds USDT TRX20, and my recovery phrase is (clean party soccer advance audit clean evil finish tonight involve whip action). Can you explain how to move it to BitGet?

  • @orzocereale9700
    @orzocereale9700 2 года назад +85

    Thank you for your videos! I got 94% on my ML exam because I understood so much just by watching your explainations :)

    • @statquest
      @statquest  2 года назад +32

      Wow!!! That is awesome!!! TRIPLE BAM! :)

    • @Bjorn_R
      @Bjorn_R Год назад +5

      Currently getting slaughtered in ML.. Found great help on this channel for my statistics course. Guess this will be my source of knowledge once again!

    • @tharunmadamanchi1280
      @tharunmadamanchi1280 8 месяцев назад +1

      ​@@statquest😂

    • @DamianThurton
      @DamianThurton 6 дней назад

      Excuse me, might I ask for your help with something? I keep my USDT TRX20 in a wallet and have my phrase (clean party soccer advance audit clean evil finish tonight involve whip action). How can I transfer the funds to BitGet?

  • @nit235
    @nit235 3 года назад +23

    Few months ago I asked you to make a video on DBSCAN and finally you have done. Thank you a lot for taking my question into consideration.

    • @statquest
      @statquest  2 года назад +1

      Most welcome!

    • @her.wanderings
      @her.wanderings Год назад +1

      @@statquest Please also make one for Ordering Points to Identify the Clustering Structure (OPTICS) ❤

  • @Mrenesnemte
    @Mrenesnemte 3 года назад +105

    Great explanations as always! Congrats! I would suggest doing explanations on algorithms such as Expectation-Maximization (EM) and Markov Chain Monte Carlo (MCMC). I would be happy to see them.

    • @statquest
      @statquest  3 года назад +34

      I'll keep those topics in mind.

  • @total_dk6517
    @total_dk6517 2 года назад +6

    Perfect timing.
    Currently writing my bachelor project and DBSCAN is part of it.
    As always, Josh Starmer is on point with the material I need! You sir certainly deserve the click of that subscription button I clicked long ago ❤️

    • @statquest
      @statquest  2 года назад +2

      Hooray!! Thank you very much and good luck with your project.

  • @thiagoamorim9172
    @thiagoamorim9172 4 месяца назад +2

    Definitely the best video for undesrtanding the algoritthm! Simple, objective, and still explains the logic. Fantastic!

  • @aryamohan7533
    @aryamohan7533 2 года назад +8

    This came at the exact time I needed it. TAing for a class and wanted to refer your videos to the students! Thank you, Josh!

  • @PritishMishra
    @PritishMishra 3 года назад +7

    This week only I was searching about DBSCAN on your channel and you uploaded it now! This is fantastic! Thanks, for the awesome content.

  • @gnkbhuvan
    @gnkbhuvan 11 месяцев назад +1

    Really Thanks Josh, I have seen multiple videos and websites to learn algorithms. But, no one explained like you. The most interesting way to listen, according to me.

  • @shaneglean217
    @shaneglean217 2 года назад +8

    Having watched several hours of your videos now, have to say that this is the best one I've seen so far. You made it so simple, so concise, that a 10 year old could understand it AND not get bored!
    Honestly can't wait to see you raise the bar even higher than this

  • @romannunezortega9481
    @romannunezortega9481 2 года назад +4

    It's just awesome how nice you explained this algorithm. Thank you so much for taking the time to summarize the information as good as you had.

    • @statquest
      @statquest  2 года назад +2

      Glad you enjoyed it!

  • @AlphaVijayan
    @AlphaVijayan 2 года назад +2

    Sir you have the gift of explaining complex things in simple manner

  • @RoqiMohajeri
    @RoqiMohajeri 4 месяца назад +1

    Your way of teaching ML algorithm is fascinating. I've just found your channel and I'm really happy. Keep it up the good work

    • @statquest
      @statquest  4 месяца назад

      Awesome, thank you!

  • @pankajgoikar4158
    @pankajgoikar4158 2 года назад +2

    You are simply amezing. Unertood in 9 min rather than spending hours on books. Tripal Bam Thanks

  • @annkes2383
    @annkes2383 16 дней назад +1

    Excellent visual representation to understand such a complicated complex concept

  • @que_93
    @que_93 3 года назад +20

    Very well explained, and extremely useful. Thank you so much, Josh.

    • @statquest
      @statquest  3 года назад +1

      Glad it was helpful!

  • @piyusharora5327
    @piyusharora5327 9 месяцев назад +2

    I will be referring to your channel for my ml project. I find this video insightful and rejuvenating.

    • @statquest
      @statquest  9 месяцев назад +2

      Awesome, thank you!

  • @MolecularMunim
    @MolecularMunim 3 года назад +5

    I'm gonna include this youtube channel in my thesis acknowledgements

  • @moindalvs
    @moindalvs 2 года назад +2

    I loved the short version of BAM! in this video . it sounds so cute. and non-core points are also called border points and outliers as noise.
    thanks for introducing me with small bam and the waiting sounds I laughed out loud . love your videos from India❤

  • @pemmarajuprerana7915
    @pemmarajuprerana7915 Месяц назад +1

    I was struggling to understand this concept, but you explanation made very easy to understand

    • @statquest
      @statquest  Месяц назад

      That's great to hear!

  • @adrienv3523
    @adrienv3523 Год назад +3

    Mate i just love your channel. The visual, the quality of the explainations, the shameless promotion humor haha
    I just whished there were some french speaking channels as great as yours...( French being my native language).
    You english is so clear that i get most of it, even if certain terms are a bit challenging for me. People would love education if most teachers were like you !
    Anyway keep up the great work :)

  • @stemfire
    @stemfire 4 месяца назад

    Thank you for saying 'Bam' every 20 seconds. It has added value to this video.

  • @alimehrabifard1830
    @alimehrabifard1830 3 года назад +1

    Wow, the best thing is when you are getting up to what you were thinking going to bed the night before haha!! Thanks man! Super right timing!!

  • @peede1467
    @peede1467 2 года назад +1

    Can't express how much I enjoy your videos. Thank you for the smile :)

  • @sruthia134
    @sruthia134 Год назад +2

    Amazinggggg! Simple, clear and engaging content! Thank you

  • @khaledihitt373
    @khaledihitt373 2 года назад +1

    This is the best explanation I ever seen

  • @TheFight339
    @TheFight339 2 года назад +1

    This is just brilliant! Hands-down the best explanation!

  • @simerjeetkaur-agronomy7881
    @simerjeetkaur-agronomy7881 3 года назад +1

    I love your videos and the way you explain (so-called) boring (for biology students) statistics. A big Thank You..

  • @almonddonut1818
    @almonddonut1818 2 года назад +1

    God bless you! I’m looking forward to checking out these study guides as well 😄

  • @akshaya6948
    @akshaya6948 Год назад +1

    Love the way it was explained simple and easy to uderstand.Thanks!

  • @vgreddysaragada
    @vgreddysaragada Год назад +2

    Good Initiative..Very well explained..

  • @web_jar6630
    @web_jar6630 Год назад +1

    This explanation is so intuitive and amazing. Thank you very much :)

  • @zkreso
    @zkreso 2 года назад +2

    I can't believe how many of these fancy sounding algorithms are just coloring stuff that's close to eachother the same color

  • @amirhosseinafkhami2606
    @amirhosseinafkhami2606 2 года назад +2

    You are a great teacher Josh, please make a video about EM

    • @statquest
      @statquest  2 года назад +2

      I'll keep that in mind.

  • @niranjansitapure4740
    @niranjansitapure4740 4 месяца назад

    This is an amazing explanation of DBSCAN!

  • @fmetaller
    @fmetaller 3 года назад +3

    Great, it came just at the right time! Thank you very much for your work.

  • @user-rf4vc7mt4d
    @user-rf4vc7mt4d 2 года назад

    I need code a clustering algo for a dataset as hw, and I picked DBSCAN. This video was perfect, thank you so much!

  • @Ishanya_
    @Ishanya_ Год назад +2

    OMG OMG OMG THIS IS THE BEST CHANNEL ON RUclips

  • @MonaEl-Shamaa
    @MonaEl-Shamaa 9 месяцев назад +1

    You are an explanation hero!!! Thank you very much!!

  • @tuananhtran5071
    @tuananhtran5071 9 месяцев назад +1

    You should be my Machine Learning teacher at my university 😍😍😍

  • @empireempire3545
    @empireempire3545 3 года назад

    n-dimensional graphs are possible, albeit it takes time to learn to read them and they are only usefull in certain situations.
    but technically you can project any n dimensional space onto any m

  • @leandroimail
    @leandroimail 3 года назад +1

    Congratulations on the video. Simple and very explanatory!

  • @ynandukumar
    @ynandukumar 5 месяцев назад +1

    Great explanation as always! Thank you.

  • @FarizDarari
    @FarizDarari 10 месяцев назад +1

    This video is why I like the DBSCAN algorithm, awesome!

  • @niniyaya7392
    @niniyaya7392 2 года назад +1

    This is the best and funniest video I have ever seen related to data mining concepts

  • @danielihenacho
    @danielihenacho 3 года назад +4

    Double Bam ! I understand the concept more.

  • @venkat157reddy
    @venkat157reddy 11 месяцев назад +1

    crystal clear and high level content and explanation..Thank you so much..

    • @statquest
      @statquest  11 месяцев назад

      Glad you liked it!

  • @thongnguyentrong2516
    @thongnguyentrong2516 Год назад +1

    Great explanations, easy to understand

  • @Thrashmetalman
    @Thrashmetalman 2 года назад +1

    like the musical call back to sorting out sorting

  • @sandraviknander7898
    @sandraviknander7898 3 года назад +3

    Learning about a new awesome clustering technique. BAM!!!

  • @aleksandarristoski2777
    @aleksandarristoski2777 2 года назад +2

    RIGHT IN TIME FOR MY EXAM.
    King.

    • @statquest
      @statquest  2 года назад +1

      Good luck!!! Let me know how it goes.

    • @aleksandarristoski2777
      @aleksandarristoski2777 Год назад +1

      @@statquest I was rewatching to summarise a bit plus it was a cool video and just saw you've replied :D. It went great I am on path to become ML master. Thank you for being here to help!

    • @statquest
      @statquest  Год назад

      @@aleksandarristoski2777 BAM! :)

  • @MingruiZhang-z7u
    @MingruiZhang-z7u 3 месяца назад +1

    very good introduction! thanks!

  • @daily-news-update-with-john
    @daily-news-update-with-john Год назад +1

    Very will explained! Thanks josh

  • @ChocolateMilkCultLeader
    @ChocolateMilkCultLeader 2 года назад +1

    Now that you have a video on this, I'll have to stop recommending my video on this topic. Thanks Josh

    • @statquest
      @statquest  2 года назад

      dang. :(

    • @ChocolateMilkCultLeader
      @ChocolateMilkCultLeader 2 года назад

      @@statquest I'm so grateful you're a Math person and not fullly focused on ML. Otherwise my channel would be redundant lmao

  • @harshitbhalla7027
    @harshitbhalla7027 4 месяца назад +1

    Thanks for such a good explanation!

    • @statquest
      @statquest  4 месяца назад

      Glad it was helpful!

  • @starmach87
    @starmach87 3 года назад +1

    Glad you are back!

  • @abhi9029
    @abhi9029 Год назад +1

    I just want to tell you that You are a Gem !

  • @asadnaqviii
    @asadnaqviii Год назад +1

    I love the way you explained this to me

  • @MLman1337
    @MLman1337 2 года назад +1

    Amazing explanation as always.

  • @kevins3563
    @kevins3563 2 года назад +2

    Very clear explanation with very cool visuals. Thank you and keep it up :)

  • @soumyadipghosh5889
    @soumyadipghosh5889 2 года назад +1

    I love to binge-watch the videos of this channel instead of Netflix

  • @llz1330
    @llz1330 3 года назад +3

    In a nutshell, DBSCAN finds groups of data points that are density connected.

  • @andrmikg
    @andrmikg 3 года назад +11

    It would be great to see how HDBSCAN works now that we know how DBSCAN is

    • @statquest
      @statquest  3 года назад +11

      I'll keep that in mind

    • @mahmoudlimam2977
      @mahmoudlimam2977 3 года назад +6

      @@statquest Yes HDBSCAN would be GREAT
      Thank you

  • @anthonykinruizcalvo7516
    @anthonykinruizcalvo7516 Год назад +1

    Really nice explanation!

  • @sammivoon1219
    @sammivoon1219 2 года назад +1

    Thank you so much for your explanation! I tried to figure out what those core-points and border points are for quite some while but to no avail :( until i found your video today!

    • @statquest
      @statquest  2 года назад +1

      Glad it was helpful!

  • @maryamzarabian4617
    @maryamzarabian4617 2 года назад +1

    fabulous , The best explanation might be possible ; Thank you so much

    • @statquest
      @statquest  2 года назад

      Thank you very much! :)

  • @guilhermeafonsovergara6776
    @guilhermeafonsovergara6776 Год назад +1

    Josh, thank you so much for all those videos. U have no idea how mych u help us out! And if I may: could u do one about the Louvain clustering?

  • @khangle7480
    @khangle7480 3 года назад +2

    Great explanation and great return! 🤣

    • @statquest
      @statquest  3 года назад +1

      Thank you! It's good to be back!

  • @lalarzapianoenthusiast
    @lalarzapianoenthusiast 2 года назад +1

    Thank you Joshhhh you are awesomeee!!!🥳🥳🥳🥳🥳🥳

  • @solok4150
    @solok4150 Год назад +2

    Nice and simple😊

  • @sammymaestro7642
    @sammymaestro7642 4 месяца назад +1

    Your explanations rock 🤟🏾.... Super Baaammm

  • @Banefane
    @Banefane 2 года назад +1

    Hooray! Another awesome video :D!

  • @Dephanie_
    @Dephanie_ 3 месяца назад +1

    PERFECT EXPLANATION!!

  • @Rooeyt
    @Rooeyt Год назад +1

    Josh's little bams catch me completely off guard.

  • @ericafey8958
    @ericafey8958 Год назад +1

    I'm just binging all these classification algorithm videos, learning for my exam

    • @statquest
      @statquest  Год назад

      Good luck! :)

    • @ericafey8958
      @ericafey8958 Год назад +1

      @@statquest Thank you! I passed :)

    • @statquest
      @statquest  Год назад +1

      @@ericafey8958 Congratulations!!! TRIPLE BAM!!! :)

  • @fritz2934
    @fritz2934 2 года назад +1

    super nice explanation!

  • @juansebastianforeroromero7006
    @juansebastianforeroromero7006 Год назад +1

    Amazing video! I would suggest an spectral clustering video too! :)

  • @sirabhop.s
    @sirabhop.s Год назад +1

    Dam Thank you, your clip is better explain than ChatGPT gave me!

    • @statquest
      @statquest  Год назад

      Thanks and that's good to hear!

  • @chronomirageYT
    @chronomirageYT 2 года назад

    This explaination is SOOOOOO GOOD, THANK YOU

  • @samiotmani9092
    @samiotmani9092 10 месяцев назад +1

    Almost at the middle 😁 , a high five from the department of genetic in Lille ✋🏼

  • @shreeyajoshi9771
    @shreeyajoshi9771 2 года назад +1

    Thank you for the clear explanation!

    • @statquest
      @statquest  2 года назад +2

      Glad it was helpful!

  • @beforemay.aftermarch
    @beforemay.aftermarch 2 года назад +1

    Very well explained. Thanks a lot!

  • @lordcasper3357
    @lordcasper3357 Месяц назад +1

    thanks for easy explanation boss

  • @minam6966
    @minam6966 11 месяцев назад +1

    Thanks for the cool explanation 😆

  • @mohamedel-hadidy4844
    @mohamedel-hadidy4844 2 года назад +1

    great explanation, thanks!

  • @ManzoorKhan-kk6qk
    @ManzoorKhan-kk6qk 9 месяцев назад +1

    Excellent job.

  • @Mars7822
    @Mars7822 2 года назад +1

    Brilliant as always....

    • @statquest
      @statquest  2 года назад

      Thank you so much 😀!

  • @kaushikreddy6419
    @kaushikreddy6419 3 года назад +1

    After a long time boss is back

  • @8eck
    @8eck 2 года назад +1

    As always, great job! Thank you very much!

  • @klingonxxxxxx
    @klingonxxxxxx 2 года назад +1

    Thanx prof. Very clearly explained

  • @tanveerahmad4941
    @tanveerahmad4941 2 года назад +1

    Amazing explanation Josh Sir
    please make video for machine learning with python

    • @statquest
      @statquest  2 года назад +1

      I've already got several. Here's a complete list of my videos: statquest.org/video-index/ (just search for "py" to find Python and pytorch videos)

  • @TECH_KG
    @TECH_KG 5 месяцев назад +1

    great explanation

  • @Felipe90820
    @Felipe90820 9 месяцев назад +1

    you are a blessing sir

  • @aayushjariwala6256
    @aayushjariwala6256 2 года назад +2

    Hey StatQuest : ) Will you do a video on the TIME SERIES problem and models ike ARIMA?

    • @statquest
      @statquest  2 года назад +2

      I'll keep that in mind.

  • @kcvelaga
    @kcvelaga 2 года назад +3

    Please consider making a video (or videos) on collaborative filtering and related topics of recommendation systems.

    • @statquest
      @statquest  2 года назад +2

      I'll keep that in mind! (ps Thanks for supporting StatQuest!!!!)

    • @kcvelaga
      @kcvelaga 2 года назад +3

      @@statquest Thanks a lot for considering, and all the wonderful content.

  • @yulinliu850
    @yulinliu850 3 года назад +1

    Happy New Year.

  • @iurgnail
    @iurgnail Год назад +1

    super clearly explained!

  • @coolsai
    @coolsai 2 месяца назад +3

    I want full version of intro