Agglomerative Hierarchical Clustering using Single link | Telugu | Giridhar

[@burlesudharani562]

Thank you sir
Your teaching is very nice ❤

[@kgclassroom9753]

Thank you

[@suryashekar399]

the way of explaination is excellent

[@kgclassroom9753]

Thank you

[@RelaxRhythme]

Thank you, you are great at teaching.

[@kgclassroom9753]

Thank you for your support

[@Nudaykumar]

Hatsoff to ur efforts bro.

[@kgclassroom9753]

Thank you

[@Sridatta-p7h]

Super sir. Chaala baga cheppaaru

[@kgclassroom9753]

Thank you

[@NandiniKommuri27]

Thankyou sir 👍good explanation 👌

[@geetaanjali2131]

Very nice explain bro😊

[@kgclassroom9753]

It's my pleasure

[@praveensunny143]

U deserve 100K subscribers at this time😢

[@kgclassroom9753]

Thank you very much

[@siddubpl4526]

Nice Explanation Sir👍🏼👍🏼

[@kgclassroom9753]

Thank you

[@Helloworld0897]

Excellent Explaination

[@kgclassroom9753]

Glad you liked it Thank you

[@Helloworld0897]

@@kgclassroom9753 can you also make videos on DB Index, fuzzy C mean clustering..

[@surekhachinthalapudi]

very good sir..thank u

[@kgclassroom9753]

Thank you U liked it

[@neelimareddy2807]

Hi sir! I have a one doubt.. while selecting minimum value from the first matrix,if there is 3 number repeat two times in the Matrix,that time how we choose pair???

[@pujithauppala7965]

Rocked it sir.. Loved your lectures

[@kgclassroom9753]

Thanks a lot. Keep following

[@AyshuA-x4f]

Super...

[@chetanreddy72]

Thank you sir ❤

[@rutvikjadvani9783]

Thank You Sir.

[@kgclassroom9753]

Welcome!

[@sathwikchalla6253]

Super teaching sir

[@kgclassroom9753]

Thank you

[@revathigatta246]

Super❤

[@kgclassroom9753]

Thank you

[@shwetachaturvedi3628]

Nice explanation

[@kavatisrisha448]

thank u bro..

[@kgclassroom9753]

You're welcome!

[@gaurav2340]

Can you make this video in hindi plz

[@sravani.l9203]

Sir before calculate the matrix values pls sir

[@vara2083]

Thank you ❤️

[@sravani.l9203]

I have doubt sir. How to take distance value between (a to b)etc.

[@siddubpl4526]

I Think using Euclidean or Manhattan or Minkowski Distance formulae

[@KONANKIABHINAYA]

By taking Euclidean distance

[@SoothingSounds969]

😭😭😭😭🛐🛐🛐🛐

[@kgclassroom9753]

Thank you

[@tasniasanta7969]

good explanation