CLUSTERING OF HIGH DIMENSIONAL DATASET USING K-MAM (MAX-AVG-MIN) METHOD WITH PRINCIPAL COMPONENT ANALYSIS A HYBRID APPROACH

摘要

Clustering the high-dimensional data set is one of the main issues in clustering analysis. Reducing the data from high-dimensional to a meaningful representation of low dimensional will increase the efficiency of clustering algorithms. The performance of