A Comparative study Between Fuzzy Clustering Algorithm and Hard Clustering Algorithm
Artificial Intelligence
2014-07-31 v1
Abstract
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
Keywords
Cite
@article{arxiv.1404.6059,
title = {A Comparative study Between Fuzzy Clustering Algorithm and Hard Clustering Algorithm},
author = {Dibya Jyoti Bora and Dr. Anil Kumar Gupta},
journal= {arXiv preprint arXiv:1404.6059},
year = {2014}
}
Comments
Data Clustering,6 pages,6 figures,Published with International Journal of Computer Trends and Technology (IJCTT)