kmeans_pytorch

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Can't choose a cluster if two points are too close to each other, that's where the nan come from

1

Can you elaborate more on what this means? Any idea how I can fix it? ``` #ToDo: Can't choose a cluster if two points are too close to each other,...

kaushal-py

Way to supress tqdm printout?

2

Hi, I'm trying to use your package as a part of larger algorithm and I'd really like to suppress the printout as it is not relevant for my purposes. The...

eeilon79

Hi, it is amazing module. But if I try to set the cluster number big or the dataset is too large. Then I will caught OOM issues. I have refactor...

AliscaChen

Feature request: Switch off output to stdout

4

I suggest adding a `verbose=False` option to `kmeans` so that we can switch off the verbose output.

adbugger

pytorch warning

4

# Warning ( torch 1.5.0+cpu ) ``` [running kmeans]: 0it [00:00, ?it/s]..\torch\csrc\utils\python_arg_parser.cpp:756: UserWarning: This overload of nonzero is deprecated: nonzero(Tensor input, *, Tensor out) ``` # Example code ``` import...

xfoobar

Unit test with sklearn?

3

Hi, thanks for the implementation ! Are you considering writing a unit test again `sklearn`'s Kmeans?

mpariente

center_shift=nan

13

Hello, Sometimes I get center_shift=nan and I don't understand why and how can I fix this.

eghouti

kornia collaboration

2

hi @subhadarship ! good repo. Would you like to integrate this algorithm inside [`kornia`](https://github.com/arraiyopensource/kornia) ?

edgarriba

IndexError: Dimension out of range (expected to be in range of [-1, 0], but got 1)

2

Hi, if num_clusters=1 I get this error IndexError: Dimension out of range (expected to be in range of [-1, 0], but got 1) Hawo I solve this problem thanks

GuesmiAbd

bad default parameters!

4

can i know why on earth does the stable release have by default the number of k-means iterations as infinite, and assumes the condition of breaking the loop will be...

fawazsammani