Comparative Analysis of Clustering Using Optimization Algorithms
Evaluating the Performance of Clustering Techniques using Optimization Algorithms
Keywords:
Comparative Analysis, Clustering, Optimization Algorithms, Data Mining, GA, ACO, PSO, Metric, Weighted arithmetic mean, Standard deviation, Normalized absolute error, Precision valueAbstract
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.Downloads
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Published
2014-08-01
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