Comparing FCM and K-Means clustering using JAVA



The Fuzzy C-Means (FCM) and K-means clustering is a classical clustering algorithms. the clustering aims to group the data of a given data set. Each data set instance is considering as a data point. additionally based on the involved optimization process, try to converse the final clustering. during experiments the model models are evaluated for measuring the performance of the algorithms. The following parameters was measured:

  1. cluster density
  2. memory
  3. time
  4. similarity index


There are no reviews yet.

Only logged in customers who have purchased this product may leave a review.