A robust algorithm for automatic extraction of an unknown number of clusters from noisy data
- 1 October 1996
- journal article
- Published by Elsevier in Pattern Recognition Letters
- Vol. 17 (12) , 1223-1232
- https://doi.org/10.1016/0167-8655(96)00080-3
Abstract
No abstract availableThis publication has 7 references indexed in Scilit:
- A possibilistic approach to clusteringIEEE Transactions on Fuzzy Systems, 1993
- A highly robust estimator through partially likelihood function modeling and its application in computer visionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1992
- Characterization and detection of noise in clusteringPattern Recognition Letters, 1991
- Robust regression methods for computer vision: A reviewInternational Journal of Computer Vision, 1991
- Robust clustering with applications in computer visionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1991
- A Clustering Performance Measure Based on Fuzzy Set DecompositionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1981
- Fuzzy setsInformation and Control, 1965