Data set can be found here
- Objective is to perform K-Means Clustering on a multi-class and multi-labelled data set.
- Elbow method using WSS is used to find optimal number of clusters.
- Hamming score is used to evaluate the cluster performance.
K-Means clustering on a multi-class and multi-label data set
Jupyter NotebookMIT
Data set can be found here