INTERNATIONAL JOURNAL OF INNOVATIONS IN APPLIED SCIENCES & ENGINEERING
International Peer Reviewed (Refereed), Open Access Research Journal
E-ISSN:2454-9258 | P-ISSN:2454-809X | Estd Year: 2015
Vol. 6, Jan-Dec 2020
Page Number: 028-032
Data mining is a technique that helps in extracting important data from a huge amount of unwanted data. There are three types of data mining technique namely clustering, classification, and predictive analysis. the clustering technique is Further divided into two parts that are hierarchal and density-based clustering. In partitioned based clustering k-means is highly effective. In this paper, we are reviewing various types of k-means clustering with its terms of description and its outcome.