A Comparative study Between Fuzzy Clustering Algorithm and Hard
  Clustering Algorithm
  Data clustering is an important area of data mining. This is an unsupervised
study where data of similar types are put into one cluster while data of
another types are put into different cluster. Fuzzy C means is a very important
clustering technique based on fuzzy logic. Also we have some hard clustering
techniques available like K-means among the popular ones. In this paper a
comparative study is done between Fuzzy clustering algorithm and hard
clustering algorithm
