K Means Clustering Algorithm | K Means Solved Numerical Example Euclidean Distance by Mahesh Huddar
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- Опубликовано: 21 янв 2023
- K Means Clustering Algorithm | K Means Solved Numerical Example | Euclidean Distance by Mahesh Huddar
Suppose that the data mining task is to cluster points into three clusters, where the points are
A1(2, 10), A2(2, 5), A3(8, 4), B1(5, 8), B2(7, 5), B3(6, 4), C1(1, 2), C2(4, 9).
The distance function is Euclidean distance.
Suppose initially we assign A1, B1, and C1 as the center of each cluster, respectively.
The following concepts are discussed:
______________________________
How to use K Means Clustering Algorithm,
K Means Clustering Solved Numerical Example,
K Means Clustering Solved Example,
K means clustering Euclidean Distance
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Dear Mahesh,
I hope this message finds you well. I wanted to take a moment to express my deepest appreciation for all the knowledge and guidance you have provided me in learning the K-means algorithm. I cannot emphasize enough how much I owe to you for opening my eyes to this fascinating topic.
Your passion for the subject and your teaching skills are truly unparalleled. Your ability to break down complex concepts and explain them in a way that is accessible to anyone is nothing short of amazing. Your dedication to helping me understand the nuances of the algorithm and its various applications has been truly inspiring.
The impact of your teaching on my understanding of machine learning and data analysis cannot be overstated. You have not only taught me the K-means algorithm, but also instilled in me a deeper appreciation for the art and science of data analysis.
I am grateful for the time and effort you invested in me, and I will always treasure the knowledge and skills you have imparted to me. Your influence has truly been transformative, and I cannot thank you enough for all that you have done for me.
With deepest gratitude,
HITNUT
Thanks for your words
Glad that my videos help you to learn machine learning
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Okay so I believe Chatgpt didn't help you here. But indeed his lecture is crisp and awesome! 😂❤
@@Logadharani thought same 😂😅
@@MaheshHuddarsir if 5 points are given what we have to select as distance values
Bro is down to his knees good lord
I have exam in 3 hours this helped me a lot
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Same
And having 3 hrs in exam u are commenting on channel😂
I have exam in one hour😢
@@appleuser1882 all the best buddy
Clear and great explanation. I understood the concept in 5 mins. Thank you for giving the clarity, sir. Hats off to you.
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same
i have an exam in 10 min 💀??
Did u pass 😂
🤣
@@Money-Mindset-Masteryabhi tak result nhi aaya hoga😂😅
@@user-cx4ki6iq7c shut up
Us bhai
I watched 30 minutes video on same topic but understand nothing but here i understood same topic in just 8 minutes....hats off to you sir....i know you worked very much for this 8 minutes video..i cant give money to you but can give tons of appreciation.
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@@MaheshHuddar I got 8.5 cgpa total after studying this...
@@ASIFAlI-lq4rd do share the videos to your friends
@@MaheshHuddar ok sir....i will share this to my friend
You're a life saver. Respect++ for your teaching style.
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U explained more detailed than our clg professor.. thank u sir ❤
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Thank you for the good work, best ML teacher i ever listen to
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Best explanation of this topic, I have ever seen. 👏👏👏
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Crystal clear! Thanks for the great video!
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This was the eaxct kinda video I was searching for that clearly explains how to calculate,re-calculate the Centroid. Thanks so much! Liked and subscribed!
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This is the best video out there about K Means Clustering. I genuinly noted myself "to check Mahesh Huddar's K Means Clustering video in case of you forget". Thank you Mr. Huddar!
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Excellent Sir....with your explanation, all my doubts are cleared
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Nice explanation!!! Need to implement this in SQL Server TSQL
Mahesh, you are such a life saver! Thanks for this
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Sir, In new centroid (second iteration) calculation 3rd column both data points as 1.5 and 1.5 but the second one has to be 3.5
But calculated value are correct
Hi Mahesh,
Could you also please explaiin about the WCSS, that the algorithm actually uses to find the lease value of K, that optimizes the clustering of the dataset in question.
Also, Could you please explain about the cluster validation
You are the best ML teacher ever.
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you killed it sir , you give me a very good clarity about k-means clustering through your video , thank you so much
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Thank you very much. I really loved that you taken this example from the book called Data Mining Concepts and Techniques from the Forth Edition, which really helped me to solve the exercises found in this book.
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Loved your videos sir. These helped me in my data analytics exams. Thanks alot.
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I have seen so many videos but the way you have explained its amazing. Thankyou so much :)
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I have ML final exam tomorrow And you taught this topic soo good
I am in the exam hall. Helping a lot! 💀
commenting from inside the exam hall lmao.. respect
Is your college allowed mobile into the exam hall
I have end sems in next 2 hours, this helped.
Hey man, studying this for a final. Your video was amazing. Thank you for the simple explanation!
Glad it was helpful!
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Not only this class your all classes are wonderfull, easily understable thank you sir
You are most welcome
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OMG! You are a life saver! Thank you so much.
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Thank you so much for the really clear explanation
You are welcome!
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Hi sir is k means and kneighborhood algorithms are same ?
Thankyou for understanding the example its apreciative presentation but still don't know about exact defination although i come to know this mathematical example by formula....😊
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Good explanation.. I explained this to my friend but she still didn’t understand.. MG
Wow......what a man........ excellent explanation good job❤❤❤❤❤❤❤❤ thank you so muchhhhhhh❤❤❤❤❤❤❤❤❤❤❤❤❤
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Thanks alot sir,it is very easy to understand While you are
teaching.
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best explanation, hats off to you!
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best and clear explaination thank you sir
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Thank you so much for this great example.
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good video. I think at 5:32 you made a typo writing down the third centroid 1.5, 3.5 but you wrote 1.5, 1.5 in the table. the values are still correct though
LOL
LOL
thank you sir. nice video.. i understood everything. keep it up.
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Clear and great explanation. clarity,
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i have ML final exam on 14 feb, And you taught this topic soo good
Can you share the question paper please
@@anoushkaamit7819 i m from Pakistan, and it was my univ exam, so if yoy still want question paper, let me know
did u pass
@@vatsaltripathi2024 yess
Thank you for the video, very helpful 🙌
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Always an Indian saving our semesters in Last hours.
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Your way of explanation with clarity is awesome sir
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Hats off to your explanation👍
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thank you sir , got understood everything
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Thank You very much. it explained clearly
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This vid is really good and it's saved my report🎉
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very nice explaination sir.....thank you soo much
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sir one thing i want to ask what if we are given the value k=3 and solve by manhattan?
Excelent material!!! Congrats!
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really, like the table. makes it very clear.
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Best explanation sir.
Thanks and welcome
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Thank you so much sir...Cristal clear
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thanks Mahesh for your great explanation. Please if it is possible active the subtitles in english. You have students around the world :)
Ok
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Nice explanation sir, thank you
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My lectures are crap. Thank you for this. I have an exam in 2 hours, thank you so much❤
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Very helpful sir thanks a lot ..❤
Most welcome
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Sir, You are the the best. 🎉🎉
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Keep teaching sir it is veryful usefull for as thankyou sir
Sure I will
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I hv exam in 2 hrs , helped a lot
I have my exams in 20 mins💀
💀😂
Still bro manages to comment 😂
Splendid Explanation
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Great teaching skills
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Thanks for good explanation 😇🤗
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superb teaching sir so nice
Thank You
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Simply wow! One suggestion, plz give some gap before ending video, lined-up videos are overlaying.
Sure
Thank You for your suggestion
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In case of images can you use point location in floating points?? becoz in digital images pixel location is fixed.
Yes
so clear!! thanks!!
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Thank u, it was very useful
You are welcome
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nice explanation! thanks
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Superb explanation
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Thank you sir you are great respect from Pakistan
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thank you sir! you summarized my 2hr lecture in less than 9 minutes :D
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best explanation man !
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Thanks, what do i do if I get same closest distance for 2 centroids, which one do I choose?
Randomly assign to one cluster and continue
Excellent explanation
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Thank you so much sir ,it’s clear explaintation , I have exam at 10:00 ,it’s very helpful to me ❤
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very helpful video itna mja aya ki 5 id se suscribe kiya
Thank You
Best teacher. Love from Pakistan
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bro you saved me before my exam
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I am watching it while solving exam
Thank you so much !!
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simply the best
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Thank you sir 😊
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Nice 👍 explanation sir TQ 🥰
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Any video with more than 3 columns?
What if we have the same value for the two centroids, which of them are we going to select
Bhai tera hi reply ni diya hua h?😅
Mtlb ni pata use
Finallyy i found it❤️🔥!! Thank you very much sir
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Thanks for the video
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Exams in two hours 😂😂
All the very best
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great.... thanks man
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In the 2nd cluster we 1.5 and 3.5 then why we should write 1.5 and 1.5 sir can u tell once
Thank You, Sir ♥
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❤ excellent 👌
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Very Nice Explanation.. Thanks...
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thanks a lot sir
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Thank You!
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Thank you so much sir
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Is it our choice to use euclidian distance or manhattan distance if it was not mentioned in qsn??
Yes