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Procedure of Partitioning Data Into Number of Data Sets or Data Group – A Review

  • Tai-hoon Kim
Part of the Communications in Computer and Information Science book series (CCIS, volume 78)

Abstract

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.

Keywords

Clustering metric Euclidean Distance K-Means Clustering Genetic Algorithm Fuzzy C Means Clustering 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Tai-hoon Kim
    • 1
  1. 1.Multimedia Engineering DepartmentHannam UniversityDaejeonKorea

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