A rough set approach for selecting clustering attribute
Top Cited Papers
- 30 April 2010
- journal article
- Published by Elsevier BV in Knowledge-Based Systems
- Vol. 23 (3), 220-231
- https://doi.org/10.1016/j.knosys.2009.12.003
Abstract
No abstract availableThis publication has 20 references indexed in Scilit:
- MMR: An algorithm for clustering categorical data using Rough Set TheoryData & Knowledge Engineering, 2007
- Fuzzy clustering of categorical data using fuzzy centroidsPattern Recognition Letters, 2004
- Cluster Analysis of Gene Expression Data Based on Self-Splitting and Merging Competitive LearningIEEE Transactions on Information Technology in Biomedicine, 2004
- Segmentation of dynamic PET images using cluster analysisIEEE Transactions on Nuclear Science, 2002
- Rock: A robust clustering algorithm for categorical attributesInformation Systems, 2000
- Clustering categorical data: an approach based on dynamical systemsThe VLDB Journal, 2000
- CACTUS—clustering categorical data using summariesPublished by Association for Computing Machinery (ACM) ,1999
- Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical ValuesData Mining and Knowledge Discovery, 1998
- Classification of radar signatures by autoregressive model fitting and cluster analysisIEEE Transactions on Geoscience and Remote Sensing, 1989
- Rough setsInternational Journal of Parallel Programming, 1982