slugAn Insight Into Concept ofCluster Analysis and Its Evaluation.
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 6
Abstract
Cluster analysis is a method for identification of homogeneous groupsof objects (observations, cases or events) based on the information found in the data describing the objects or their relationships. Themain goal is to find group of objects such that objects in a group will be similar (or related) to one another and different from (or unrelated to) the objects in other groups. If the similarity (or homogeneity) within a group and the difference between groups will be greater, there will be “better” or more distinct clustering. One of the clustering process issues is the evaluation of clustering results. Estimation of the obtained cluster structure quality is the main subject of cluster validity. This paper introduces the fundamental concepts of clustering and addresses an important issue of clustering process. This paper also describes various clustering methods, types of clusters and validity index used by clustering to categorize complex data into real and accurate knowledge.Furthermore it illustrates the variousIssues , Problems challenges and Tools of clustering analysis.
Authors and Affiliations
Nidhi Chawla, Ajmer Singh
Keywords
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