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K Means Clustering Solved Example K Means Clustering Algorithm in Machine Learning by Mahesh Huddar 

Mahesh Huddar
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K Means Clustering Solved Example K Means Clustering Algorithm in Machine Learning by Mahesh Huddar
Use K Means clustering to cluster the following data into two groups. Assume cluster centroid are m1=4 and m2=11. The distance function used is Euclidean distance. { 2, 4, 10, 12, 3, 20, 30, 11, 25 }
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5 окт 2024

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Комментарии : 30   
@ravikolagani
@ravikolagani 5 месяцев назад
Small clarification : Square and root gets cancel in mathematics .. so the formulea is d(x2,x1) = x2-x1 -- Isn't it ?
@darkzone3295
@darkzone3295 4 месяца назад
if you cancel it or not but the answer remains the same right
@lucaspecialedits4284
@lucaspecialedits4284 4 месяца назад
The points are one dimensional here. But for higher dimension points we need to sum all squares of all differences under root.
@MSAMIULHAQ-u3e
@MSAMIULHAQ-u3e 4 месяца назад
To avoid minus sign Square is compulsory or take abs val
@sheevanulhaq3912
@sheevanulhaq3912 4 месяца назад
It's the common mistakes that we do or we can say we got stuck with the point that root and square get's cancel. Actually in mathematics it's not like that , whenever there is square inside a root then if you want to remove both the operator then you have to leave a modulus outside. On the other hand if there is a root inside the square then we don't need modulus. For example:- √(x²) = |x| (√x)² = x Hope you get it.
@kucklowmusic9184
@kucklowmusic9184 4 месяца назад
Ofcourse, it would be just like measuring distances using scale since its 1-D
@prathmeshmohite692
@prathmeshmohite692 5 месяцев назад
thank you sirrr ,nice teaching
@MaheshHuddar
@MaheshHuddar 5 месяцев назад
Welcome Do like share and subscribe
@ramyakrishnan831
@ramyakrishnan831 3 месяца назад
Sema explain sir I have clearly understand TQ sir
@MaheshHuddar
@MaheshHuddar 3 месяца назад
Thanks and welcome Do like share and subscribe
@jeevithasrinivasan3199
@jeevithasrinivasan3199 2 месяца назад
If both the distance to m1 and m2 are same which cluster do we need to allocate ? To new cluster ?
@MaheshHuddar
@MaheshHuddar 2 месяца назад
Assign to any one cluster and continue with new iteration
@dhanashreeshiva68
@dhanashreeshiva68 3 месяца назад
Thank you sir..
@MaheshHuddar
@MaheshHuddar 3 месяца назад
Most welcome Do like share and subscribe
@lukeshpraveen4763
@lukeshpraveen4763 3 месяца назад
Sir what if i get same distances And to which cluster do i need to assign it
@MaheshHuddar
@MaheshHuddar 3 месяца назад
Randomly assigned to one cluster and continue with new iteration
@tusharsoni_42
@tusharsoni_42 5 месяцев назад
thnx
@MaheshHuddar
@MaheshHuddar 5 месяцев назад
Welcome Do like share and subscribe
@chaimaashaay4887
@chaimaashaay4887 4 месяца назад
@MaheshHuddar
@MaheshHuddar 4 месяца назад
Thank You Do like share and subscribe
@praneethboddu012
@praneethboddu012 5 месяцев назад
If initial centroids are not given what should l do
@mrchocon5388
@mrchocon5388 5 месяцев назад
apni choice kai according choose kar loa
@MaheshHuddar
@MaheshHuddar 5 месяцев назад
You can select any data points as initial centroids
@sadiyaww7507
@sadiyaww7507 4 месяца назад
@@MaheshHuddar won't the final clusters be different based on different initial centroids we choose if we are not given any initial centroid in question?
@MaheshHuddar
@MaheshHuddar 4 месяца назад
@@sadiyaww7507 No, You can start with any centroids randomly, if not given. Algorithm converges to correct clusters finally
@Imspeed877
@Imspeed877 3 месяца назад
Leave the exam hall and go back to home 🏡
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