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...
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2015/107650 |
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| author | Thenmozhi Srinivasan Balasubramanie Palanisamy |
| author_facet | Thenmozhi Srinivasan Balasubramanie Palanisamy |
| author_sort | Thenmozhi Srinivasan |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-2d88e6588b8b406ea098d2b4c906fa3e |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-2d88e6588b8b406ea098d2b4c906fa3e2025-02-03T05:51:36ZengWileyThe Scientific World Journal2356-61401537-744X2015-01-01201510.1155/2015/107650107650Scalable Clustering of High-Dimensional Data Technique Using SPCM with Ant Colony Optimization IntelligenceThenmozhi Srinivasan0Balasubramanie Palanisamy1Department of Computer Applications, Gnanamani College of Technology, AK Samuthiram, Pachal, Namakkal District, Tamil Nadu 637 018, IndiaDepartment of Computer Science and Engineering, Kongu Engineering College, Perundurai, Erode, Tamil Nadu 638 052, IndiaClusters 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.http://dx.doi.org/10.1155/2015/107650 |
| spellingShingle | Thenmozhi Srinivasan Balasubramanie Palanisamy Scalable Clustering of High-Dimensional Data Technique Using SPCM with Ant Colony Optimization Intelligence The Scientific World Journal |
| title | Scalable Clustering of High-Dimensional Data Technique Using SPCM with Ant Colony Optimization Intelligence |
| title_full | Scalable Clustering of High-Dimensional Data Technique Using SPCM with Ant Colony Optimization Intelligence |
| title_fullStr | Scalable Clustering of High-Dimensional Data Technique Using SPCM with Ant Colony Optimization Intelligence |
| title_full_unstemmed | Scalable Clustering of High-Dimensional Data Technique Using SPCM with Ant Colony Optimization Intelligence |
| title_short | Scalable Clustering of High-Dimensional Data Technique Using SPCM with Ant Colony Optimization Intelligence |
| title_sort | scalable clustering of high dimensional data technique using spcm with ant colony optimization intelligence |
| url | http://dx.doi.org/10.1155/2015/107650 |
| work_keys_str_mv | AT thenmozhisrinivasan scalableclusteringofhighdimensionaldatatechniqueusingspcmwithantcolonyoptimizationintelligence AT balasubramaniepalanisamy scalableclusteringofhighdimensionaldatatechniqueusingspcmwithantcolonyoptimizationintelligence |