A Comparative study Between Fuzzy Clustering Algorithm and Hard Clustering Algorithm

Autor:	Bora, Dibya Jyoti, Gupta, Dr. Anil Kumar
Rok vydání:	2014
Předmět:	Computer Science - Artificial Intelligence
Zdroj:	International Journal of Computer Trends and Technology (IJCTT) V10(2):108-113, Apr 2014. ISSN:2231-2803
Druh dokumentu:	Working Paper
DOI:	10.14445/22312803/IJCTT-V10P119
Popis:	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 Comment: Data Clustering,6 pages,6 figures,Published with International Journal of Computer Trends and Technology (IJCTT)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1404.6059 Zobrazit plný text záznamu View this record from Arxiv