Unsupervised Learning: Introduction to K-mean Clustering

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Information Unsupervised Learning: Introduction to K-mean Clustering

Title	:	Unsupervised Learning: Introduction to K-mean Clustering
Lasting	:	15.17
Date of publication	:
Views	:	228 rb

Hi mam is k means and kneighborhood algorithms are same ?
Comment from : Beradinho Yilmaz

great job :)
Comment from : Amir star

Thank u
Comment from : Ongolo Abouna Roger Claude

Beautiful video, it just explains exactly what I was looking for Hopefully I get this question on my exam!
Comment from : CheekyGoose

Great Info Thanks a lot
Comment from : Mah moud

nice video
Comment from : nanda gopal

Why am I watching this again? 😢brTnx though
Comment from : Rahul Roy

Excellent and easy explanation, thanks a billion Prof Mirzaei
Comment from : Adil Farooq

Thanks really for helping us!!Excellent work!!
Comment from : Panos Tzakis

Awesome video! I can't believe how you simplified everything for it to make this much sense Kudos to you!
Comment from : FREDERICK NII A OTU-AFRO

what if during euclidean distance computation, a point has the same distance to 2 clusters ?
Comment from : Pixie

Thank you 😊💓
Comment from : Anurag Singh

Awesome video! Great explanation
Comment from : Tom Tsoumpas

Excellent explanation
Comment from : Computational Notes

These teachers in college would be appreciated , not those boring professors
Comment from : Rohit Singla

The way you explained was really awesome loved it ❤️ best video for kmeans clustering
Comment from : ALEKHYA KOTARI

appreciate you
Comment from : Mohammad Aref Haidary

The best way of K-mean Clustering explaination! Iranian Professor is amazingly good at teaching!
Comment from : Nakhshiniev Bakhtiyor

Thanks for the tutorial
Comment from : Harsh Alashi

Beautifully explained! Most simple and useful
Comment from : Muhammad Suhaib

pls,what the reference u explain from it can u add it and thank u so much for helping videos
Comment from : hory channels

That was too much helpful Thank you very much To learn k-means, this tutorial is recommended
Comment from : fuad khan

Thanks so much! I finally got it!
Comment from : Octo8

I am sure this is the video everybody is looking for Underrated
Comment from : Laurent Sanou

Thank you!
Comment from : Moin Uddin

মাশা আল্লাহ।
Comment from : Morsalin Islam

from where i can get the code of this question
Comment from : Bashaar

you saved my day at last i can hand calculate the first step of centroid of clustering
Comment from : 스펀지솜

Thank y so much Very helpful
Comment from : AOMO

Thanks
Comment from : Samran Khan Shaan

Thank you very much
Comment from : Khabbaz Mohamed

Another correction as well, br brCorrectoin: at 11:53, In cluster 1: /3 instead of /2 br brGreat explanation anyways
Comment from : Attique Shah

Thank you for this video God bless you
Comment from : Michael

Thank u so much miss 💓
Comment from : Oumaima

is this 2D clustering
Comment from : Umair Rehman

Best video ever!!!!
Comment from : Reem Abdullah

this is an excellent explanation
Comment from : Mudi Ovuede

Thank you Prof Mirzaei, your lecture is amazing !
Comment from : datletien

👍
Comment from : Ajmal Ram

Really awesome video I understood this in one time You teach so better than my professor, wish you were my professor
Comment from : Shreshth Kaushik

Good job Thank you
Comment from : OLUMIDE ADESINA

Wonderful explanation!!!
Comment from : Yousra Chahinez HADJ AZZEM

Thank you so much ma'am
Comment from : Aneesha ks

This was extremelyyyy helpful Thank you so much, your explanations were crystal clear
Comment from : Aniket Mukherjee

GOOD Explanaton Thank you for providing nice video
Comment from : lakshminarayana kodavali

Mam can you please help to draw cluster in matlab I have a matrix of 10×10 but I am not able to draw cluster
Comment from : R G

❤
Comment from : Amira Amira

درود خدمت تان بانو شگوفه غزیز و گرامیthank you soo much dear Msshukofeh
Comment from : Rawush zafar

Thank you so much for this Please, can you do a video on k-means cluster evaluation; Internal measure, hand calculated
Comment from : Chikezie Monalisa

I have been searching for this type of solution for 2 two days
Comment from : Study With Osama Ali

Thank u🙏
Comment from : Rim Belkhir

Could you please add k-means and DBSCAN with constraints?
Comment from : Mateusz Mati

Very concise and to the point May be the best explanation for this topic brOnly number and font in slides that wish it more readable But the lecture quality is master piece !
Comment from : Worajedt Sitthidumrong

Very easily explained madam
Comment from : DrSVasundhara

Your explanation is so comprehensive and easy to understand Thank you for your time and effort that you put into making this tutorial
Comment from : Aziza Mirsaidova

Thanks ma'am
Comment from : Naman pratap Singh

Thanks Ma'am
Comment from : Naman Pratap Singh

apki awaz me lan
Comment from : Muhammad Zeeshan

Baji chaa gaey jey tusi You have done a fabulous job
Comment from : SHAHID IQBAL

Thank you so much Very easy and nice understanding skill 😊 very helpful vedio
Comment from : Ayesha Rahman

You did an amazing job explaining this visually I think most people get scared with Mathematical concepts and Algorithms is because they are visual, and if they can't see how it works practically and visually, they loose interest I wish I was taught this way in my school days Thank you
Comment from : Shantanu Sharma

Amazingly explained, thanks!
Comment from : Thomas

Thank You Mam! ❤️ bryou helped me a lot
Comment from : Mehedi Hassan

I had a one hour lecture Our lecturer just kept on reading the presentation slides And here, bam! I spend 15 minutes trying to understand I understood! Thank you, ma’am
Comment from : I’m Da Dood

great explanation mam!!! It was really helpful to me Finally I solved my problem Thanks!
Comment from : lahiru

بسیار عالی
Comment from : esy sss

hi may I ask why didn't you use Euclidean distance formula to calculate distance between the points?
Comment from : Asad Ullah

Thank so much!
Comment from : Hasan Badir

thanks Shokoufeh joon, very helpful
Comment from : Aussie

Thank you <3
Comment from : Nermin Maslo

Perfect! ;D
Comment from : Onyinyechi Chukwuma

you are really amazing
Comment from : Emerald Sika

The BEST Explanation of K-Means Clustering Algorithm on YouTube
Comment from : Abhishek Ravoor

Thank you so much for this!
Comment from : devansh messon

How to find cluster
Comment from : SIRF DEKHO

I understand this for the first time! Thank you so much!
Comment from : Lewis Hoang Long

The fact that we have to do this by hand is utterly ridiculous
Comment from : Retro Future Style

very clear explanation Thank you
Comment from : Ziad Salem

thank u so muck , u're video is really helpfull
Comment from : park jiji

Thanks a lot!!!
Comment from : Oksana Fedan

Thank you so so soso much ❤
Comment from : Amira Amira

thanks so much for the explanation
Comment from : Obi

Thanks a lot Your videos helped understanding it easily and made it less ambiguous as my professor made it seem
Comment from : Sanni Afeez

this saved my life thanks
Comment from : Khine Myat Thwe

good job
Comment from : נימרוד לוי

honestly the best video i have come across to clearly explain this topic!
Comment from : Sarah Kaur

Honestly, this is the only video that helped me to understand this topic
Comment from : Tech Talks

can i use Euclidean Distance instead of Rectilinear distance?
Comment from : Md Yousuf

Im strugling on our data mining subject since theres a pandemic and i cant attend online classes and can only rely on modules Modules cant really explain everything so im thankful that you explained this clearly
Comment from : Carlo_WR