Subspace Clustering Algorithm Based on Multi-rule Constraint

Huiping Li
2014 International Journal of Multimedia and Ubiquitous Engineering  
For the fact that telecom data size is extremely huge and the management is much complicated, the paper proposes subspace clustering algorithm based on multi-rule constraint, to mine business knowledge information in a more efficient and accurate manner. By relying on K-means clustering algorithm, the method improves selection and mutation operation of genetic algorithms and thus corrects inappropriate choice of K-means initial clustering centers. Meanwhile, with the use of variable weighting
more » ... ariable weighting strategy, data classification sparseness in the clustering is overcome. A fast and useful mining method is enabled for massive data. Results show its better performance in terms of computing efficiency, accuracy and ability.
doi:10.14257/ijmue.2014.9.12.10 fatcat:dfmm7qg62rcztaru5ht3ietjh4