Clustering: K-means and Hierarchical

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Information Clustering: K-means and Hierarchical

Title	:	Clustering: K-means and Hierarchical
Lasting	:	17.23
Date of publication	:
Views	:	179 rb

Absolutely loved it, very resourceful, and has all the clarity that's needed regarding clustering algorithms
Comment from : Nikhil Thota

Thanks for the videos! Do you have a source for some mock datasets to play with? I always want to pull up a notebook and try these algorithms, but dont have any good data
Comment from : Adam Montgomery

Great Serrano
Comment from : 1623_Sajjad Hossain Talukder

This is by far the best explanation of the elbow method I've seen Thank you!
Comment from : Brad Morse

thank you so much this is wonderful ❤❤❤❤
Comment from : Evelyn Rose

I know you haven't covered Silhoutte scores in this video but I have a question What to do if elbow method and silhoutte scores gives different number of clusters? Like elbow method suggests 3 clusters and silhoutte score suggests 2 clustersbrbrAlso, I love your way of explaining things I have confused about hierarchical clustering but you made it so clear Keep making these videos
Comment from : Jaymin Mistry

Thanks!
Comment from : anthony ukpong

I almost never comment on youtube videos, but this is hands down one of the best videos I have seen on any topic ever! This is my first time watching your any of your videos Thanks for what you do!👏👏👏
Comment from : anthony ukpong

Thanks so much for this truely great explanation You make these topics feel so simple and easy by your excellent way of demonstration
Comment from : Mostafa Nasrat

Great content
Comment from : Fosberg Addai

Good teaching
Comment from : Henry Ford

Ugh statistics isn’t my thing… I’m definitely not gonna major in Data Science
Comment from : raginbakin

Awesome video Thank you very much
Comment from : Ramil Taghiyev

amazing video! there's just one thing I didn't understand: what the hell is a pizza 'parlor'?? ;)
Comment from : 123eorl

very cool
Comment from : Panagiotis Avgerinopoulos

Very well explained!
Comment from : shahryar habibi

Great Explanation and illustration
Comment from : kasirye Moses

Thank you so much for making the video Your explanation is very clear and easy to understand
Comment from : Nghiep Ly

Entraba buscando las diferencias entre un modelo y el otro pero no solo entendí las diferencias sino que me di cuenta que no entendía ninguno de los dos Mil gracias
Comment from : Juan M

Awesome explanation Very intuitive
Comment from : Dom McKean

Great explanation indeed!
Comment from : Swati Bhatnagar

Your explanations are just so easy to understand and brilliant
Comment from : Marshel

noiceeee!!!!!!!!!!
Comment from : RITHANYA BALAMURALI

I can't believe how simple and easy to understand you made clustering Thank you Luis!
Comment from : Faraz Rizvi

Brilliant video - such a clear and understandable explanation! Thank you so much :)
Comment from : Samara Dryburgh

Great explanations! Thank you I’d love to see a video explaining the use of silhouette scores and plots for picking the best number of clusters
Comment from : curmudgeon

Next Level Explanation
Comment from : Isuru Subasinghe

Best explanation so far Thanky you sir
Comment from : Dominik Klon

Exceptional explanation!
Comment from : Scott Grorud

very easy to get understand!!!
Comment from : waiAX

you are a genius!
Comment from : yesser falkyt

Thank you for the application oriented explanation :)
Comment from : shreeya joshi

Very simple way to introduce a complex process, your video never let me down:)
Comment from : Lance Zhang

hatsoff sir
Comment from : Ajay Chitambaran

finished watching
Comment from : Sandipan Sarkar

great explanation✌
Comment from : Harry Potter

I love this explanation! Thank you!
Comment from : Zuko Fire

Explanation is wow
Comment from : prashant kumar

I'm taking a course in data science by hk university and I didn't new what the points of clustering but now I know, you got a new subscriber
Comment from : Picasso Of AI

Thank you so much for putting out this content! Really well explained Much appreciated
Comment from : McKenziee

Thanks for this content!
Comment from : beldam94

Your explanation was just out of this world
Comment from : EnglishwithArash

Excellent!!!!!
Comment from : Payam Mahbobi

Hi Luis Your way of explaining these concepts are very helpful to me But I am still unclear about the hierarchical clustering in case of big data set how do I choose the cut-line in the dendrogram? Please please answer me
Comment from : Soumodeep Sen

You make dreadful theories amazingly simple! Thank you very much for the great explanations AND the super-cool animations!!! Keep up!
Comment from : Disura Warusawithana

Fantastic explanation and presentation I just finished reading 49 pages of a textbook and got more out of this video in 16 minutes than from my textbook thank you sir I truly appreciate it
Comment from : Bartholomew Fraughst

Great explanation with real time examples Loved the clustering Applications (Recommendation) example which was the exact reason why I watched this video Awesome!
Comment from : Gopi Krishna Nowduri

This is a great presentation I've learned a lotbrbrI was wondering whether there was a connection between hierarchical clustering and decision trees They look and feel similar, but I'm not sure whether that's mathematically evident
Comment from : Zoltan Rab

Excellent Video! So easy to understand with the geographic example, thank you for the informative content
Comment from : Dewald Jacobs

Wow Thi channel is Godsends I have more understanding the fundamental clearly Thanm you
Comment from : lazyengineer85

Im such a visual person and the pizza example helped so much
Comment from : Anam Khan

Excellent and simple explanation with good visual representations of K-means & Hierarchical models Luis!
Comment from : Russell Chidyausiku

This is the simplest one on K-means and Hierarchical Clustering
Comment from : Cactus Crus

Easily the clearest explanation of the two clustering concepts Thank you!
Comment from : Oopsthathappened

I get this video through YouTube searching Your explanation is better than the others thanks for your contribution
Comment from : zelalem fiseha

Excellent video
Comment from : RameshKanna Mathivanan

one of the best explanation on k- means and hierarchial clustering
Comment from : sunn risse

Amazing educational content! Thank you
Comment from : BlackJacketWasp

I really appreciate your explanation of this topic Thank you!
Comment from : Jason Adams

Thank you so much!!!!!
Comment from : Jhonny Kokos

loved the content Luis <3
Comment from : Arul Prasad

Excellent! Excellent!! Excellent!!! Explanation Many Thanks!
Comment from : Prakhar Jadon

you are amaaaaaaaaaaaaaazing, i was really confused during the class
Comment from : Haneen Haneen

abs fantastic video!! ever great!
Comment from : gao mike

Español tb hermanooo
Comment from : Miguel Prieto Lezana

Damn, it finally clicks in my head! :D Very well explained, subscribed!
Comment from : Daniel Rodrigues

helps so much, thank you!!
Comment from : Jane Vieren

Best video to serve the purpose :D
Comment from : Waqeeb Sayeed

Thanks for the help! The explanation was very clear and simple to understand
Comment from : Derek Goh

Awesome Video Very helpful indeed Luis
Comment from : Amani john maberi

thank you for this explanation Luis
Comment from : turbo1177

If all my teachers were like you, I had a Nobel prize now!
Comment from : sina abd

I took a loan to pay for my college tuition to teach me this and what's worse is that they didn't teach it half as good as you Thanks a ton, Luis! <3
Comment from : The_White_Lotus

excellent way of explaining difficult concepts !!! Keep it up and thank you
Comment from : Qazafi Mahmood Malik

11:33 Hierarchical Clustering
Comment from : Kifayat Msd

i dont usually comment here but your explanation is so amazing easy to understand hope you doing well sir brIf possible could you explan on Stochastic gradient decent and Gradient decent?brand also content-based, collaboratave-based filter, clustering-based recommender system? thank you
Comment from : IC You

nicely explained
Comment from : Tejas Porwal

Thank you so much! Super helpful
Comment from : S W

YOURE JUST AMAZING SIR I WISH YOU FLOWERS AND JOY AND ETERNAL GLORY ! THANK YOU
Comment from : Selma Essafi

The best explanation of clustering which I have seen!
Comment from : Artem K

Thanks again Luis! What's the rationale (mathematical one would helpful) behind the elbow giving the optimal number of clusters? Intuitively, it kinda makes sense to pick the point where the slope changes drastically rather than choosing a point where nothing interesting is happening
Comment from : S A