K-Means Clustering Algorithm
This is an implementation of K-Means clustering algorithm along with the K-Means++ seeding technique using NumPy. Further, a comparison of the manual implementation is made against the SK Learn implementation of the algorithm. The Iris dataset is used for this comparison.
Clustering Graphs
Iris Dataset True Clusters
SK Learn K-Means Clusters
Manual Implementation Clusters
Confusion Matrix - Iris True Clusters v/s Manual Implementation Clusters
| 0 | 1 | 2 | |
|---|---|---|---|
| 0 | 50 | 0 | 0 |
| 1 | 0 | 48 | 2 |
| 2 | 0 | 14 | 36 |
Confusion Matrix - SK Learn Clusters v/s Manual Implementation Clusters
| 0 | 1 | 2 | |
|---|---|---|---|
| 0 | 50 | 0 | 0 |
| 1 | 0 | 62 | 0 |
| 2 | 0 | 0 | 38 |
Confusion Matrix - Iris True Clusters v/s SK Learn Clusters
| 0 | 1 | 2 | |
|---|---|---|---|
| 0 | 50 | 0 | 0 |
| 1 | 0 | 62 | 0 |
| 2 | 0 | 0 | 38 |