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Fuzzy color model and clustering algorithm for color clustering problem

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arxiv 2407.06782 v1 pith:RB2QOLGS submitted 2024-07-09 cs.CV

classification cs.CV
keywords colorfuzzymodelclusteringdataalgorithmclusterefficient
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The research interest of this paper is focused on the efficient clustering task for an arbitrary color data. In order to tackle this problem, we have tried to model the inherent uncertainty and vagueness of color data using fuzzy color model. By taking fuzzy approach to color modeling, we could make a soft decision for the vague regions between neighboring colors. The proposed fuzzy color model defined a three dimensional fuzzy color ball and color membership computation method with two inter-color distances. With the fuzzy color model, we developed a new fuzzy clustering algorithm for an efficient partition of color data. Each fuzzy cluster set has a cluster prototype which is represented by fuzzy color centroid.

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Cited by 1 Pith paper

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  1. SCPP: A Unified Python Library for Soft Clustering

    cs.LG 2026-07 conditional novelty 6.0 of 10

    SCPP provides a unified Python API, benchmarking suite, and 241 tests covering 40 soft clustering algorithms.

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