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

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

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

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

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

psufukj
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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

ozonewagle
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Thank you very much for the great explanation!

bilenkeziban
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thank you my friend, very explanable :)

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

mahakgarg
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great explanation.
i wonder what is the stop condition to define final clustering- the algorithm can run until all points are clustered or it can stop at an optimal point no?
what is that point?

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

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

anchitmaheshwari
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what if 2 distance points are same how will we merge

surjiths