TY - JOUR A2 - Jaganathan, Venkatesh AU - Srinivasan, Thenmozhi AU - Palanisamy, Balasubramanie PY - 2015 DA - 2015/10/01 TI - Scalable Clustering of High-Dimensional Data Technique Using SPCM with Ant Colony Optimization Intelligence SP - 107650 VL - 2015 AB - 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. SN - 2356-6140 UR - https://doi.org/10.1155/2015/107650 DO - 10.1155/2015/107650 JF - The Scientific World Journal PB - Hindawi Publishing Corporation KW - ER -