Comparing FCM and K-Means clustering using JAVA

Description

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