K-Means Clustering From Scratch in Python (Mathematical)

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K-Means Clustering From Scratch in Python (Mathematical)

Рет қаралды 31,819

NeuralNine

Күн бұрын

Пікірлер: 21

@pitaeata8493 Жыл бұрын

this is great, thank you. it feels good to understand something and be a little closer to understanding machine learning or how to use it properly.

@rezaaminafshar 10 күн бұрын

Hi, thanks for your comprehensive explanation. I want to use cosine distance as metric instead of Euclidean distance. could you please guide me? shoud we just change the part of code which calcaulates Euclidean distance or also other changes need?

@AlexandLupand 10 ай бұрын

I'm glad I found this tutorial!

@linusolmin9313 2 ай бұрын

Thank you very much!

@Larzsolice Жыл бұрын

I take random points from my data as initial centroids, less computations since you only need the set a random integers for indices.

@bibekmaharjan8969 9 ай бұрын

Can you share the code for it

@Larzsolice 9 ай бұрын

@bibekmaharjan8969 not sure how here, but the Python random package has a random.choice() or something like that. You can use the data points as the iterable and choose k of them randomly like that.

@bibekmaharjan8969 9 ай бұрын

@@Larzsolice alright. Thanks a ton

@neevpenkar4955 Ай бұрын

Beautiful Video! If I plan to reuse this code, is this code licensed by you (or anybody else)?. If I reuse it I will post a link to this video but I wanted to be on the safer side!

@SeziManuhutu 6 ай бұрын

your explanation is great. but i want to ask, what if we want to know what data is move to different cluster. like at first the data is in 0 cluster but then after that it's move to the other group. how do we know the number of data that is move to another cluster?

@Hickssama 5 ай бұрын

Thank you sir

@bijayamanandhar3890 9 ай бұрын

It's a great tutorial. Beside everything, I just didn't understand why and how it was assumed to have 3 centroids for the example dataset where as you assumed the dataset has no label (unsupervised). Appreciate if you can elaborate. Thanks,

@NeuralNine 9 ай бұрын

The number of centroids is the same as the number of clusters. You can either just pick one or you can use techniques to find the "optimal" or at least a good number of clusters. I have a video about this on my channel.

@tcgvsocg1458 Жыл бұрын

really interesting

@user-gk5bz6vd9j Жыл бұрын

hi i am getting this error can you tell how to solve it ValueError: 'c' argument has 200 elements, which is inconsistent with 'x' and 'y' with size 100.

@Ali110.69 5 ай бұрын

Hello, I had a question, I wanted to know if I want to work in machine learning or data science, I must use Anaconda and Jumper Lab or can I use Pycharm? I asked this question to many people and they said I should work in Jupyter Lab I can't get along with its environment. I can work inside pycharm or vscode. Your answer can help me a lot. Thank you

@user-ti6zf5mj4x 5 ай бұрын

Better use VS code to have a JN architecture, and if it creates issues, you may use Pycharm!

@sekiro_19 4 ай бұрын

use Jupiter notebook

@philtoa334 Жыл бұрын

Thx_.

@aravindputtapaka5147 Жыл бұрын

I want a python code to convert handwritten image into plain text with accurate i have tried buti didnt got you can try it and show it me sir and plz respond to this comment bcz i am searching for this very curiosly...

@AnmolKumar-so8lh 5 ай бұрын

use OCR(optical charcter recognation) for that using ocr you can extract text from the image