Visual cluster validity for prototype generator clustering models

Authors:
Richard J. Hathaway;James C. Bezdek
Affiliations:
Department of Mathematics and Computer Science, Georgia Southern University, P.O. Box 8093, Statesboro, GA;Department of Computer Science, University of W. Florida, Pensacola, FL
Venue:
Pattern Recognition Letters
Year:
2003

Citing 5
Cited 14

Applied multivariate statistical analysis

Applied multivariate statistical analysis
A computer generated aid for cluster analysis

Communications of the ACM
Pattern Recognition with Fuzzy Objective Function Algorithms

Pattern Recognition with Fuzzy Objective Function Algorithms
Fuzzy Models and Algorithms for Pattern Recognition and Image Processing

Fuzzy Models and Algorithms for Pattern Recognition and Image Processing
Some new indexes of cluster validity

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Efficiently Mining Gene Expression Data via a Novel Parameterless Clustering Method

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Scalable visual assessment of cluster tendency for large data sets

Pattern Recognition
Relational visual cluster validity (RVCV)

Pattern Recognition Letters
An algorithm for clustering tendency assessment

WSEAS Transactions on Mathematics
Design of interpretable fuzzy rule-based classifiers using spectral analysis with structure and parameters optimization

Fuzzy Sets and Systems
A method of relational fuzzy clustering based on producing feature vectors using FastMap

Information Sciences: an International Journal
Is VAT really single linkage in disguise?

Annals of Mathematics and Artificial Intelligence
Normality-based validation for crisp clustering

Pattern Recognition
Fuzzy Cluster Validation Using the Partition Negentropy Criterion

ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
Permutation clustering using the proximity matrix

FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
A novel two-level clustering method for time series data analysis

Expert Systems with Applications: An International Journal
Visualization of single clusters

ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
A new formulation of the coVAT algorithm for visual assessment of clustering tendency in rectangular data

International Journal of Intelligent Systems
Conceptual clustering of multi-relational data

ILP'11 Proceedings of the 21st international conference on Inductive Logic Programming

Quantified Score

Hi-index	0.10

Visualization

Abstract

Conventional cluster validity techniques usually represent all the validity information available about a particular clustering by a single number. The display method introduced here uses images generated from the results of any prototype generator clustering algorithm to do cluster validation.