A Survey on Different Clustering Algorithms in Data Mining Technique
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2013, Vol 3, Issue 1
Abstract
ABSTRACT: Fast retrieval of the relevant information from databases has always been a significant issue. There are many techniques are developed for this purpose; In among data clustering is one of the major technique. The process of creating vital information from a huge amount of data is learning. It can be classified into two such as supervised learning and unsupervised learning. Clustering is a kind of unsupervised data mining technique. It describes the general working behavior, the methodologies followed by these approaches and the parameters which affect the performance of these algorithms. In classifying web pages, the similarity between web pages is a very important feature. The main objective of this paper is to gather more core concepts and techniques in the large subset of cluster analysis.
Authors and Affiliations
P. Indira Priya
Keywords
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