2010 | OriginalPaper | Chapter
Procedure of Partitioning Data Into Number of Data Sets or Data Group – A Review
Author : Tai-hoon Kim
Published in: Security-Enriched Urban Computing and Smart Grid
Publisher: Springer Berlin Heidelberg
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The goal of clustering is to decompose a dataset into similar groups based on a objective function. Some already well established clustering algorithms are there for data clustering. Objective of these data clustering algorithms are to divide the data points of the feature space into a number of groups (or classes) so that a predefined set of criteria are satisfied. The article considers the comparative study about the effectiveness and efficiency of traditional data clustering algorithms. For evaluating the performance of the clustering algorithms, Minkowski score is used here for different data sets.