K-mean Clustering with Numerical Example | Unsupervised Learning | Machine🖥️ Learning 🙇‍♂️🙇

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00:00 – Intro
00:28 – example of cluster

K-means clustering is an unsupervised learning algorithm used to partition a dataset into K distinct, non-overlapping subsets or clusters.

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Assalam o ALikum sir
I am following you since my first semester. Now I am in my last semester and your method is so good that even i can't remember my subject teacher's words. Your videos have helped me a lot in 4 years. I lesson your almost all playlists a week before exam and tomorrow is my paper of Dataware house. And end of my studies. a lot of respect ofr you from PAKISTAN

from start to now you are much weaker care your health

NooRıı-

Sir kya hee pdate ho ❤❤ love your voice. Mera DBMS APKI HE help se nikla h

rahulsen

Finally, I understand the fundamental of clustering and centroid. Very well explained

azmat

Indians, You've got a GEM . He's better teacher than I've had at university. Appreciation from PAK.

mariakhan

Kal exam hai sirrr. Or Aaj aapki yaad aagyi vapas. Thank you sir pass karane ke liye

DethroneGod

I really like the way you teach and its really better than international teachers in my University that is in Hatfield, UK

hafizmuhammadadnan

Sir wow ap bhut hi acha pdhate ho.

Sir please data science ke semester subjects ki bhi playlist layeiye.

Like mongodb, oracle, python libraries pytorch, sklearn, and more.
Thank u sir.❤

MovieOk-pq

The approach you're describing, where centroids are updated immediately after adding a row to a cluster, sounds like a form of online or incremental K-Means clustering, which differs from the traditional batch K-Means clustering algorithm.

isbahahmed

Sir, please make a playlist Data warehouse and mining and add all this type of videos in that playlist🙏🏻
Love you❤ sir

thunderking

Apse bidya teacher mene aaj tk nhi dekha

soulmate

sir, Machine learning mai jo python ki libraries use hoti hai vo bhi krwado
like streamli, yfinance

shyambaba

I think sir, first all the values should be assigned to nearby centroid then updation should be done. Kindly check it sir 🙏

g

i think after one iteration we need to do more iteration for future clustering

HABIBUNNABIHEMEL-xb

Isn't the mean value taken only after all the dataset points are placed in clusters? and not as soon as a data point is added in one of the cluster!

kosherAD

kal Data Mining ka Exam he sir thank you very much

troubledtom

Cluster1= C1, C4, C7
Cluster2= C1, C3, C5, C6

mdamirsabir

hmarey teachers tou kuch prhatey nhi, ap pr hi bharosa hai sara

ayeshafarooq

tnk you sir what a explanation sir great work😍😍

siddhpurakeval

Sir JB K1 and K2 both will be updated then for the next instance will we take the mean from the updated centroid or the previous k1?

Unknownkpopstaner

As an Indian No teacher delivered leacture on this topic in classroom but IDK why it's in syllabus😢

suryakantgupta

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