An automatic method to determine the number of clusters using decision-theoretic rough set
Authors:
- Hong YuHYHong Yu
- Zhanguo LiuZLZhanguo Liu
- Guoyin WangGWGuoyin Wang
- 1 January 2014
- journal article
- Published by Elsevier in International Journal of Approximate Reasoning
- Vol. 55 (1) , 101-115
Abstract
No abstract availableKeywords
This publication has 46 references indexed in Scilit:
- Determining the number of clusters using information entropy for mixed dataPattern Recognition, 2012
- Determination of the threshold value β of variable precision rough set by fuzzy algorithmsInternational Journal of Approximate Reasoning, 2011
- Clustering high dimensional data: A graph-based relaxed optimization approachInformation Sciences, 2008
- A Hierarchical Method for Determining the Number of ClustersJournal of Software, 2008
- A local-density based spatial clustering algorithm with noiseInformation Systems, 2007
- Are clusters found in one dataset present in another dataset?Biostatistics, 2006
- How Many Clusters? An Information-Theoretic PerspectiveNeural Computation, 2004
- Cluster analysis for gene expression data: a surveyIEEE Transactions on Knowledge and Data Engineering, 2004
- FCM-Based Model Selection Algorithms for Determining the Number of ClustersPattern Recognition, 2004
- Least squares quantization in PCMIEEE Transactions on Information Theory, 1982