Clustering and its validation in a symbolic framework
- 31 October 2003
- journal article
- research article
- Published by Elsevier BV in Pattern Recognition Letters
- Vol. 24 (14), 2367-2376
- https://doi.org/10.1016/s0167-8655(03)00066-7
Abstract
No abstract availableKeywords
This publication has 8 references indexed in Scilit:
- Dynamic self-organizing maps with controlled growth for knowledge discoveryIEEE Transactions on Neural Networks, 2000
- Some new indexes of cluster validityIEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 1998
- ITERATE: a conceptual clustering algorithm for data miningIEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 1998
- Improved Heterogeneous Distance FunctionsJournal of Artificial Intelligence Research, 1997
- Divisive clustering of symbolic objects using the concepts of both similarity and dissimilarityPattern Recognition, 1995
- Symbolic clustering using a new dissimilarity measurePattern Recognition, 1991
- An examination of procedures for determining the number of clusters in a data setPsychometrika, 1985
- Automated Construction of Classifications: Conceptual Clustering Versus Numerical TaxonomyIEEE Transactions on Pattern Analysis and Machine Intelligence, 1983