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...
Saved in:
Main Authors: | Thenmozhi Srinivasan, Balasubramanie Palanisamy |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2015-01-01
|
Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1155/2015/107650 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Predicting Defects Using Information Intelligence Process Models in the Software Technology Project
by: Manjula Gandhi Selvaraj, et al.
Published: (2015-01-01) -
Applying Data Clustering Feature to Speed Up Ant Colony Optimization
by: Chao-Yang Pang, et al.
Published: (2014-01-01) -
An Adaptive Clustering Scheme for Improving the Scalability in Intelligent Transportation Systems
by: Yen-Wen Lin, et al.
Published: (2013-12-01) -
Ant Colony Optimization Algorithm for Continuous Domains Based on Position Distribution Model of Ant Colony Foraging
by: Liqiang Liu, et al.
Published: (2014-01-01) -
Clustering Ant Colony-Based Edge-Server Location Strategy in Mobile Crowdsensing
by: Ahmed. A. A. Gad-Elrab, et al.
Published: (2022-01-01)