Comparative Analysis of Clustering Using Optimization Algorithms

Evaluating the Performance of Clustering Techniques using Optimization Algorithms

Authors

  • Mr. Alatekar Suhas A. Singhania University Author

Keywords:

Comparative Analysis, Clustering, Optimization Algorithms, Data Mining, GA, ACO, PSO, Metric, Weighted arithmetic mean, Standard deviation, Normalized absolute error, Precision value

Abstract

In this paper we presentComparative Analysis of Clustering using Optimization Algorithms. The data clusteringis recognized data analysis technique in data mining this paper is also based on comparative study of GA; ACO & PSO basedData Clustering techniques. To compare the results we use different metricssuch as weighted arithmetic mean, standard deviation, Normalized absolute error& Precision value that measured the performance to compare and analyze theresults.

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Published

2014-08-01