Hacktoberfest-2k18 icon indicating copy to clipboard operation
Hacktoberfest-2k18 copied to clipboard

Implementation of K-means Clustering

Open ckeshava opened this issue 6 years ago • 3 comments

Description

Implement the k-means clustering algorithm.

Details

Technical Specifications: Tensorflow/PyToch/Caffe

  • Type of issue: Multiple (Implementations in different frameworks will be considered separately)
  • Time Limit: 3 days

Issue requirements / progress

  • [ ] Tensorflow: Provide examples that show that the results are dependent on the initial - choice of the centroids

  • [x] Tensorflow: Plot the elbow curve after running the algorithm for different values of centers, and suggest an optimal value for the same.

  • [ ] Pytorch: Provide examples that show that the results are dependent on the initial - choice of the centroids

  • [ ] Pytorch: Plot the elbow curve after running the algorithm for different values of centers, and suggest an optimal value for the same.

Directory Structure

Name the code file as <your_name>.py and save it inside this folder. Assuming this is implemented in tensorflow: machine_learning/kmeans_clustering/tensorflow/your_implementation.py/ck.py

Note

Please claim the issue first by commenting here before starting to work on it.

ckeshava avatar Sep 30 '18 06:09 ckeshava

Hi, I'd like to work on the Tensorflow implementation.

mehnazyunus avatar Oct 10 '18 04:10 mehnazyunus

@mehnazyunus sure go ahead!

mahim23 avatar Oct 10 '18 04:10 mahim23

Hi, I would like to work on the Pytorch implementation of K-Means Clustering.

GajeshS avatar Oct 18 '18 09:10 GajeshS