Hacktoberfest-2k18
Hacktoberfest-2k18 copied to clipboard
Implementation of K-means Clustering
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.
Hi, I'd like to work on the Tensorflow implementation.
@mehnazyunus sure go ahead!
Hi, I would like to work on the Pytorch implementation of K-Means Clustering.