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

ABSTRACT


Analysis of Data Mining Clustering Technique using Knowledge Discovery (KDD) process

Sara Dahiya

Vol. 6, Jan-Dec 2020

Page Number: 028-032

Abstract:

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.

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