Scalable Clustering of High-Dimensional Data Technique Using SPCM with Ant Colony Optimization Intelligence.
Clusters of high-dimensional data techniques are emerging, according to data noisy and poor quality challenges. This paper has been developed to cluster data using high-dimensional similarity based PCM (SPCM), with ant colony optimization intelligence which is effective in clustering nonspatial data without getting knowledge about cluster number from the user. The PCM becomes similarity based by using mountain method with it. Though this is efficient clustering, it is checked for optimization using ant colony algorithm with swarm intelligence. Thus the scalable clustering technique is obtained and the evaluation results are checked with synthetic datasets.
Department of Computer Applications, Gnanamani College of Technology, AK Samuthiram, Pachal, Namakkal District, Tamil Nadu 637 018, India.
Thenmozhi
T
Srinivasan
Department of Computer Science and Engineering, Kongu Engineering College, Perundurai, Erode, Tamil Nadu 638 052, India.
Balasubramanie
B
Palanisamy