Back to Search
Start Over
A Rough-fuzzy C-means using information entropy for discretized violent crimes data
- Source :
- HIS
- Publication Year :
- 2013
- Publisher :
- IEEE, 2013.
-
Abstract
- This paper presents the factor clustering analysis for violent crimes. The efficiency of Rough-fuzzy C-means algorithm is affected by the numbers of clusters, and not all centroids are beneficial. The analyzing of violent crime data does not need human intervention for impartiality. The information entropy is a helpful tool for resolving those issues. In this paper, a novel discrete Rough-fuzzy C-means based on information entropy algorithm (DRFCMI) is proposed, which can obtain typical conclusions objectively. Experimental results illustrate that our proposed method is efficient.
Details
- Database :
- OpenAIRE
- Journal :
- 13th International Conference on Hybrid Intelligent Systems (HIS 2013)
- Accession number :
- edsair.doi...........2ae80000a58adcd2269cba366b65c7e6