/cluster-analysis

K-Means clustering on a multi-class and multi-label data set

Primary LanguageJupyter NotebookMIT LicenseMIT

cluster-analysis

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.