Clustering: K-means and Hierarchical 

How you do your explanation is amazing. An earth-shattering simplification of the two methods delivered by a great cool voice!

Your explanations are just so easy to understand and brilliant..........

Easily the clearest explanation of the two clustering concepts. Thank you!

Great explanation, really helped my understanding of hierarchical clustering and dendrograms!

I can't believe how simple and easy to understand you made clustering. Thank you Luis!

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.

Thank you so much Luis! Your explanations have been so important for me to learn key concepts whilst in my DS/ML bootcamp. The way you present initial intuition of the algorithms without delving into any of the math and then slowly introducing the principles is brilliant! Other courses can't wait to throw all the math on you from the very beginning, getting you lost before you could ever start to learn. Your animations are also much appreciated!

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!👏👏👏

This is by far the best explanation of the elbow method I've seen. Thank you!

Just want to leave a comment so that more people could learn from your amazing videos! Many thanks for the wonderful and fun creation!!!

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!

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

You're really good at explaining concepts

You explained these theories by examples which are super clear! Thanks a lot! Keep updating more videos. Really helpful!

Luis, I have been viewing multiple videos to find someone who could explain these concepts with clarity and you nailed it! Thakn you

Simple, concise and informative video. All educative videos should be like this.I have subscribed

Amazingly composed, a much simpler and understandable version, Hats off Luis, loved it, thanks.

I always start watching your video with liking it. Thank you so much!

I watched a lot of videos explaining k-mean but none of them give me a great and easy way to understand what is meant as you did! thank you for this video

Amazing video , No one can beat your approach in explaining concepts

Thank you! Your video saves my final exam! I had struggled with hierarchical clustering for a pretty long time until I saw your amazing videos today! Big Thank you again!

You are great! The way you simplify and the examples you give are so memorable- Thank you!

I've studied the topic for a minute. This is the best explanation/analogy I have ever come across. Subscribed!

Thanks a lot for the simple way that you have explained the concepts of K-means Clustering and Hierarchical Clustering. The K-means Clustering examples with pizza parlor locations such that each person is going to go the nearest to them and every pizza parlor should be located at the center of the houses that it serves is simply awesome. Also the example using dendogram for Hierarchical Clustering is so cool and easy to understand.

Thanks so much for this truely great explanation. You make these topics feel so simple and easy by your excellent way of demonstration.

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.

You are one of the best educators. I hope you read this message. I hope you understand the positive impact you are having on all of us around the world. Thank you.

Thank you for making this video. This is so visual and it makes it so easy to understand.

I have watched a lot of videos about hierarchical, your video is epic! thanks...

Wow... it's amazingly simpler after watching your video... thank you so much Luis!

I don't have words to express my views. I can simply say Awesomeeeeeeee . Keep uploading for other techniques also.

Thank you Luis!! Amazing explanation. Easy to understand.

Underrated channel, great explanation.

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

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.

Great explanation, thank you. You are amazing lecturer Mr Luis.

Thank you. You have made this really easy to understand. Wonderfully helpful.

Thank you so much for making the video. Your explanation is very clear and easy to understand

Hope this type of video will be on RU-vid Trending someday. Thanks Luis

Absolutely loved it, very resourceful, and has all the clarity that's needed regarding clustering algorithms.

Excellent and simple explanation with good visual representations of K-means & Hierarchical models Luis!

Excellent Video! So easy to understand with the geographic example, thank you for the informative content.

I get this video through RU-vid searching. Your explanation is better than the others. thanks for your contribution.

The best explanation I've seen/heard so far!

Epic explanation! Like always !

Thank you so much for putting out this content! Really well explained. Much appreciated.

Great. It is very informative Tks Luis..

Best video explanation I ever saw. Thank you Luis

Thank you for the most clear explanation I’ve heard so far.

Congratulations!!! Very easy to understand how clusters works!

I really like the way you teach these topics. thank you 🤩

This is the best explanation I have heard of any concept :)

Thank you Luis! Great explanation.

Your explanation was just out of this world

I've been looking around trying to understand what they mean. You're video explains very well...

Best explanation so far. Thanky you sir.

excellent way of explaining difficult concepts !!! Keep it up and thank you

I really appreciate your explanation of this topic. Thank you!

Awesome explanation. Very intuitive.

Thanks for the help! The explanation was very clear and simple to understand

Very simple way to introduce a complex process, your video never let me down:).

one of the best explanation on k- means and hierarchial clustering

Excellent! Excellent!! Excellent!!! Explanation. Many Thanks!

Thanks Luis. It is really great and vivid!

thank you for this explanation Luis

Absolutely simplified explanation..thanks

Great job. Very easy to understand, thank you!

The best explanation of clustering which I have seen!

I love this explanation! Thank you!

Great Explanation and illustration

Awesome Video. Very helpful indeed Luis

Very clear explanations, Thanks!

Dude, I love your lectures....Best in the world...

Wonderful explanation!

Great explanation! Very clear.

Very well explained!

Amazing educational content! Thank you.

Very informative! I am more prepared now for my data mining exam tomorrow! Thank you!

Very helpful and nicely animated, thanks

Well Explained. Great video

Great way of explaining! Thanks !

Excellent .....It will help me to better explain the application of optimization (locator-allocator) theory to my colleagues in Public Health

Thanks for the very easy explanation.

Amazing explanation Luis

This is how you teach! Basic theory followes by immediate example.

YOURE JUST AMAZING SIR I WISH YOU FLOWERS AND JOY AND ETERNAL GLORY ! THANK YOU

Great explanation!

Hi. Great thanks for the simple explanation of the concept.

Exceptional explanation!

Genius explanation! Made me smile :)

Thank you for the application oriented explanation. :)

Fantastic amazing explanation, subscribed!

Great explanation indeed!

thank u so much!! it was very helpful and easy to understand :)

Thanks Mr. Serrano!!!

another great course like everytime, thankiiies!

Hey, thanks for the explanation. I had a doubt about feature scaling when clustering. In the first example for k-means, age and engagements are on different scales, so if you don't scale the data you're making the assumption that an age difference of a year has the same 'weight' as 1 engagement a week for k-means's sum of squares optimisation. Some sources recommend scaling or normalising your data before clustering and other don't. How does one make that choice of scaling the data before clustering? Is it a business/use case decision (what do you want to give weight to) or do you always leave the data as is (like in the example) or do you always scale the data (equal weightage) ?

Thank you very much. This cleared everything 🙏

You are my best, really appreciate you

Awesome video. Thank you very much