K Means Clustering Intuition

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Here is a complete intuition behind K Means Clustering Algorithm. We will understand the complete the complete geometric intuition.

You can buy my book where I have provided a detailed explanation of how we can use Machine Learning, Deep Learning in Finance using python

  1. Krish Naik
  2. k-means clustering tutorial
  3. k means clustering simple explanation
  4. k means clustering example dataset
  5. k means clustering python
  6. k-means clustering in r
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Комментарии
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You are amazing teacher, You are my favorite teacher, That With you i can learn Machine Learning. I am continuing to watch you❤ You are the best teacher all over the world 🌍

lemanosmanli
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I usually never comment on you tube videos but seeing your videos I am forced to comment. You have got amazing explanation skills and precise knowledge!!!!

shwetadalal
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Thank you Krish, thank you thank you 😭😭😭😭😭😭😭

I'm starting to love Data Science because of you 😭😭😭😭😭

I_Love_DataScience
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@Krish, For calculating wcss i saw in some article it is mentioned wcss = (xi - ci)^2.

kanhathakur
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Thank you so much sir ... for such an easy explanation .. .. i was so confused about it but now its all crystal clear .

swapnilsrivastava
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sir should have more subscribers such a good explanation

vishwajitbhagat
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love the video sir ❤
great explanation

JohnWickea
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K Means Clustering Practical video is not available kindly provide it sir

manjunath.c
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Sir, You have lots of video on Machine Learning accept DMM analysis
please make a video on it me and my team are waiting for this video.

saifullahshafin
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hope the first video will be available, cause my exam is coming up in 3 more days x.x

yuen
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Please make a video on X11, X12, X13 decomposition vs classical decomposition. 🙏

RenormalizedAdvait
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Thanks for uploading this, it really helped me

meetpanchal
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Thanks for the video sir but the formula of Wccs should be summation of (ci-xi)^2 we need to decrease the dist between the centroid and all the other points in this case...

ratulghosh
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Really great video krish 😀! I really learnt lots of concepts. I Have a question about wcss score. As it's the distance between each data point and updated centroïd, we shouldn't make a substraction between point of data and centroid point then calculate the mean of these distances according To the number of clusters ?

E_Gaks
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Great Explanation Krish.So when we have more then one clusters, we are going to take the average of all the clusters to find the WCSS value

DS_AIML
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K Means Clustering Practical : @

its not available for all. it only for members of this channel

vaishnavipandiyan
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Hi Krish, thank you for the video.. I appreciate a lot if you could provide the practical video which you mentioned in your video..

vinaykumarreddy
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Hi, i appreciate your work, I request to you, can you upload a video of all algorithm with python coding like KNN algo Please.
Thanks

dineshkathania
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Sir..Please provide K means Clustering Practical Video...Thank you

suvarnadeore
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here you initialised centroid from the data points only right? i think this is kmeans++ algo. as in kmeans the 1st centroid can be anything i guess (infinity possibility) n not from the data point

satabdigantayat