A robust automatic clustering algorithm for probability density functions with application to categorizing color images.(English)Zbl 07550091
Summary: This study develops a robust automatic algorithm for clustering probability density functions based on the previous research. Unlike other existing methods that often pre-determine the number of clusters, this method can self-organize data groups based on the original data structure. The proposed clustering method is also robust in regards to noise. Three examples of synthetic data and a real-world COREL dataset are utilized to illustrate the accurateness and effectiveness of the proposed approach.
MSC:
| 62H30 | Classification and discrimination; cluster analysis (statistical aspects) |
Keywords:
clustering algorithms;COREL image database;kernel density method;probability density functionCite
Full Text:DOI
References:
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