Agglomerative Hierarchical Clustering Single link Complete link Clustering by Dr. Mahesh Huddar

Agglomerative Hierarchical Clustering Single link Complete link Clustering by Dr. Mahesh Huddar
This video discusses, how to create clusters using Agglomerative Hierarchical Clustering for the given data point?
Consider the following set of 6 one dimensional data points: 18, 22, 25, 42, 27, 43
Apply the agglomerative hierarchical clustering algorithm to build the hierarchical clustering dendrogram.
Merge the clusters using Min distance and update the proximity matrix accordingly.
Clearly show the proximity matrix corresponding to each iteration of the algorithm.
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[@RestartUPSC2026]

What an easy way you explained sir! Thank you! You saved lots of my time.

[@MaheshHuddar]

You're welcome!
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[@43_ayonroy4]

Are you giving UPSC ?

[@isaacsomuah]

Wow. You made it very easy to understand. Thank you Sir

[@MaheshHuddar]

You are welcome
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[@nickbelterman4006]

Underrated content

[@095_shaniabalkhi9]

Awesome way of explanation! Legend.

[@MaheshHuddar]

Thank You
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[@izzahzamri2267]

This is the best video ever!

[@MaheshHuddar]

Thank You
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[@ПрохорК]

Спасибо тебе, дорогой друг из далёкой Индии.... Ты мне всё объяснил "на пальцах"

[@MaheshHuddar]

Welcome
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[@hemangisarangdhar1424]

exam ke ek din pehle dekh raha hu. teacher ne to kuch theek se padhaya hi nai THANKYOU SIR ALOT #bestsirevaa

[@MaheshHuddar]

🙏

[@ozonewagle]

2:53. Sir i am not particularly understanding what you did from here. You told the 27th row and column to be removed but instead you merged taking out minimum value among those 2

[@kannandakshnamurthy9850]

Yeah there should be 17 instead of 15

[@Kathir-n1n]

I think it should be 15 only sir has done the question with taking min instead of max for the linkage please do correct me if am wrong

[@hikikomorihachiman7491]

@@kannandakshnamurthy9850 i later found out that sir is taking the minimum values while merging them,

[@dr.mahanteshm.nadakatti3472]

Even I got the same confusion. I retained 17 out of 17 and 15 for row containing 25 and 27, thereby deleting row and column of 27 . So, for Step-3, the value under column and row containing 42 and 43 is 17 instead of 15 as mentioned here in the explanation.

[@prathmeshmohite692]

nice teaching sir

[@MaheshHuddar]

Thank You
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[@SantoshKumar-iy7mr]

simply amazing sir

[@MaheshHuddar]

Thank You
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[@user-mr5on2le4i]

thank you my friend, very explanable :)

[@MaheshHuddar]

Welcome
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[@vineetsuvarna8185]

helpful content!

[@MaheshHuddar]

Glad it was helpful!
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[@bilenkeziban6237]

Thank you very much for the great explanation!

[@MaheshHuddar]

Welcome
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[@pradyotmanna9878]

Sir what is the relation between distance threshold and no of clusters? Is it inversely proportion?

[@mahakgarg3152]

Sir how can we identify it is single link or complete link structure?

[@skarthikeya5285]

if we take min distance between 2 points while clustering then its single if we take max or higher distance between 2 points then its gonna be complete

[@itsmemanasa24]

Thank you sir

[@MaheshHuddar]

Welcome
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[@vargabghosh5497]

nicely explained great

[@MaheshHuddar]

Thank You
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[@sanidhyajain1828]

thank you

[@MaheshHuddar]

Welcome
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[@K-IT-VishalPanchal]

wonderful sir

[@MaheshHuddar]

Thank You
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[@anchitmaheshwari1568]

after removing 27th row , there should be 17 not 15

[@manasa4134]

yes but in the video they showed 17 what is correct 15 or 17

[@ronipaul1705]

17 is correct

[@bharathreddy03]

15 is correct because compare to 15 and 17 , 15 is lesser value

[@bharathkumar8265]

It should be 17. after removing 27 column and row , 25 row and column values will remain right? Pls tell the correct one

[@zeusx6479]

As 25 and 27 are in a same cluster, 15 is correct because 42 is greater than 25 and 27, so distance of 27 to 42 is 15… If it was less than 25 and 27, lets say example 20, then distance between 25 and 20 would be taken which is 5

[@sajendrapal9270]

Really helpful... Thank you Sir

[@MaheshHuddar]

Welcome
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[@ushanandhini1942]

Need CURE algorithm

[@surjiths1626]

what if 2 distance points are same how will we merge

[@skarthikeya5285]

its a sequential processes so which ever one you calculate first will get merged first thats how it works in programs so you can do the same in numerical examples

[@ahmadjaradat3011]

Wow. You made it very easy to understand. Thank you Sir

[@MaheshHuddar]

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[@Bhatkal_Vlogger]

Thank you sir

[@MaheshHuddar]

Welcome
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[@Bhatkal_Vlogger]

@@MaheshHuddarSir please solve this question
Two clusters C1 and C2 are given as:
C1 = {2, 5, 7, 9} C2 = {14, 22, 26, 27}
Calculate the total within cluster variations for C1 and C2. Comments on your result and
sensitivity of the outliers.

[@omaral-shehri9531]

thank you so much

[@MaheshHuddar]

Welcome
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