K Means Clustering Algorithm | K Means Example in Python | Machine Learning Algorithms | Edureka
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- Опубликовано: 27 май 2018
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This Edureka Machine Learning tutorial (Machine Learning Tutorial with Python Blog: goo.gl/fe7ykh ) series presents another video on "K-Means Clustering Algorithm". Within the video you will learn the concepts of K-Means clustering and its implementation using python. Below are the topics covered in today's session:
1. What is Clustering?
2. Types of Clustering
3. What is K-Means Clustering?
4. How does a K-Means Algorithm works?
5. K-Means Clustering Using Python
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Thank you! I have been studied in a business intelligence program for two months. I have a assignment on SPSS k means cluster assignment. To understand the topic better, I want to watch a video first to get some general idea. It is so great that I can find this video and all the other videos in your channel. Although I am new in BI and data science, I have decided that I will do modeling and AI in future. All of your videos are so great! They can help me to build a solid foundation in modeling and AI for my future carrier!
hey the video is good..!! would like to know how to implement it for custom data. How do we prepare the graph for the custom dataset and perform clustering?
Comprehensive and to the point explanation. Kudos!
Thanks, great explanation!!!
Ur doing a great job for u brother. All my well wishes to u. Plz post gd videos of data science
Very very helpful.... Thank u sir...
Great video, gonna share this! I also would like the code and data, please?
Everything was touched clearly and it was well mentioned through out the session.
Thank you @AtulSir #Edureka ... My best free learning RUclips channel.
thank you explanation is awesome .
Great explanation!
Thank you very much!
Thank you! Great tutorial!!!
Thanks for a very good pictorial explanation! Straight to the point and clear!
And immense respect for the guy who developed this algorithm.
We are super happy that Edureka is helping you learn better. Your support means a lot to us and it motivated us to create even better learning content and courses experience for you . Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
Very nice and easy to understand explanation. Thanks
nice one! best explanation so far
Great Explanation of K-means.
Brilliant! Amazing explanation! Keep it up, man!
So far the best explanation of this issue
got it. thanks
Thanks that was amazing explanation
Thanks for the lesson, you explained it better than my univ's professor
Thank you for appreciating our efforts. Do subscribe to our channel and stay connected with us. Cheers :)
Very nice session.. very well explained
Very informative video as always! I was wondering whether you have the same but with exponential support vector machines instead? Thanks a lot!!!
Keep watching :) We are glad to be a part of your learning journey. Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
Great work! You are doing a wonderful job, please continue uploading such brilliant videos :)
Awesome 👌 I love 💘 this
Nice video and content.
Thank you! This is so helpful, esp the coding bit!
You're welcome 😊 Glad it was helpful!!
why that * is used before centroids in the for loop in the initialization part?
Edureka is doing great and things get best materialized while doing well chosen industry-based assignments given in its courses!
Thanks a lot.
Hi,
how do we choose the distant metrics like manhattan, eucladean and minkowski distance. what are the main things to look for?
Hey Saravana, There is no clear-cut answer for this. If you want your distance to reflect "absolute magnitude" then use Manhattan and Euclidean
gor clear with the actual concept but still i have problems regarding code
Great Video.....
good visualization
thank you
Could you pls explain in the simplest language, the difference between fit() and fit_transform().
"fit" computes the mean and std to be used for later scaling (just a computation), nothing is given to you. "transform" uses a previously computed mean and std to autoscale the data (subtract mean from all values and then divide it by std). "fit_transform" does both at the same time. Hope that helps!
Thanks sir
Thanks for the great explanation. Can you please share the data and the code?
Please mention your email id (it will not be published). We will forward the code and dataset to your email address.
Thank you 😊
Good lecture
can i get the codes?
Indians always comeup with top notch explanations.
pls share the link of jupyter/colab notebook also.
Easily understandable...
Thanks for the compliment Nisha . We are glad, our video helped you.Stay tuned with us on this channel for future updates.
It was a enthusiastic till the end to watch the video. Can i have the source code of it?
Hi Harish! Thanks for the compliment. Please share your email id with us (it will not be published). We will forward you the source code to your email address.
Simple and easy explanation. Can you please share the code. Thank You
Good to know our contents and videos are helping you learn better . We are glad to have you with us ! Please share your mail id to send the data sheets to help you learn better :) Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
Thank you so much sir
Most welcome
thankyou so muchhhhhh
Thanks for the great explanation, I just had one question. If I have a dataset with 3 classes, then should I choose k=3? or is it irrespective of the classes?
You can use either of the following methods to get the value of k:
The Elbow Method
The Silhouette Method
I dont understand about the step 5, why are you calculating the mean ? can you please suggest :)
the content is superb ...... can you please share the ppt
Good to know your learning with edureka :) please share your mail id to share the data sheet! We'll Update you soon !
can u mail me the code and dataset ?
What is the value of SSE if number of data points and cluster are equal?
If all cases within a cluster are identical, the SSE would then be equal to 0.
Please make an end to end projects of all algorithm in data science
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How to find accuracy of this algorithm
Thanks 🙏🏻
You’re welcome 😊
Hej Awesome tutorial can you send me code and dataset?
Hey, Please share your email id with us (it will not be published). We will forward you the source code and the dataset to your email address.
Great lecture! Can you please share the code?
Please share your email id with us (it will not be published). We will forward the code to your email address.
If we have two clusters one for true and one for false then how do we know which cluster is of true and which one is for false because k means just gives output 0 and 1 as cluster number
Hey Pushkar, You will be polling that particular node to check for the characteristics. Happy learning!
Great job. can you please share the code? Thanks
Hi, kindly drop in your email id to help us assist you with the required source codes. Cheers :)
I love the way he says 'alright' in his lessons ❣
Good explanation! please share the code
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I am not getting the output for assignment phase. can u please help me out?
Hey Shambavi, Can you please elaborate on the issue more so that we can help you out?
What is the difference between k nearest neighbours and k means clustering
K-NN is Supervised machine learning while K-means is unsupervised machine learning. K-NN is a classification or regression machine learning algorithm while K-means is a clustering machine learning algorithm. Hope that helps!
Good explanation ,, kindly may i get the code
Hi Fridah, kindly drop in your email id to help us assist you with the required source codes :)
Hi, I got error like:'['distance_from_1', 'distance_from_2']' is an invalid key, does anyone knows why?
You are probably trying to access directly as array. Using iloc/loc will resolve the issue.
It's funny how most RUclips channels teach way better than people from thr most prestigious institutions
From where I can get the PPT used in this lecture
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Can you kindly share the code?
Will you pls share the code which you have explained here
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Wonderful session
Hi! Can you pls share the code?
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Can I get those files?
Hey Mubeena, please do mention your email ID over here and we will send the files to you. Cheers!
Can i please get the codes and program file
Please share your email id with us (it will not be published). We will forward the code to your email address.
yeSSS AlrighTTT!!
Can I get this tutorial code?
Hi great to hear from you :) please share your mail id ! so that we can share the data sheet with you :)Do subscribe the channel for more updates : )
Could you pls provide me code and data set for hands on
Hi Ravi, we will definitely share the codes. Please provide your email id and we will share it to you, cheers :)
Can you share the code? Thanks!
Please mention your email id (it will not be published). We will forward the code to your email address.
Can you please provide me the ppt!
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can you share the code and data?
Hi, Please mention your email id (it will not be published). We will forward the code and dataset to your email address.
Where I found this code
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Who is the presenter?
Hey Harsha, our instructors are industry experts working in the industry on that particular technology. This is how we make sure that our training module is relevant to the industry requirements. You can check out our courses and the batches here: www.edureka.co/all-courses
Hope this helps :)
Please i need the code ?
Please mention your email id (it will not be published). We will forward the code to your email address.
can i get dataset
Hey Rohan, surely you can. Just mention your email id over here(we won't publish it) so that we can mail the files to you. Cheers!
Can I have the source code of it?
Please share your email id with us (it will not be published). We will forward the code to your email address.
pardon, can I get those code?
Hi Yanuar, kindly drop in your email id to help us assist you with the required source codes. Cheers :)
Can you share code? thank you
Please share your email id with us (it will not be published). We will forward the source code to your email address.
hello, may i get the code ?
Please share your email id with us (it will not be published). We will forward the code to your email address.
Can you share the code?
Please share your email id with us (it will not be published). We will forward the code to your email address.
Hi can i please have the code
Please share your email id with us (it will not be published). We will forward the source code to your email address.
Can you share the code, please?
Glad you liked it ! We are glad to have learners like you .Drop your mail id in the comment section for us to share the data sheets or source codes :) Do subscribe our channel and hit that bell icon to never miss an video from our channel .
can you give your source code?
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Can I get the code ?
Hi Saipriya, kindly drop in your email id to help us assist you with the required source codes. Cheers :)
please share code
Hi : ) We really are glad to hear this ! Truly feels good that our team is delivering and making your learning easier :) Keep learning with us .Stay connected with our channel and team :) . Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
canyon share the code file ? please
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can I get the code?
Hey Shafia, glad you loved the video. Please mention your email ID and we will send the files to you. Cheers!
can you email me the code and data ? Cheers.
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Thanks for the great explanation. Can you please share the data and the code?
Thanks for the appreciation. Please share your email id with us (it will not be published). We will forward the source code to your email address.
Thank you sir