/K-Means-Clustering

Implementation of K-Means Clustering in Python

Primary LanguageJupyter Notebook

K-Means-Clustering

Tasks

  • Take input from the given source data file and plot all the points.
  • Perform the k-means clustering algorithm applying Euclidean distance as a distance measure on the given dataset with k=2. Take random points from the given data as initial centroids.
  • Color the corresponding points on the clusters with different colors.