Gustafson Kessel & Fuzzy C-Means Implementation
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Updated
Jun 23, 2021 - Python
Gustafson Kessel & Fuzzy C-Means Implementation
A Python implementation of the fuzzy clustering algorithm C-Means and its improved version Gustafson-Kessel
Fuzzy visual encoding using Gustafson-Kessel and Gath-Geva clustering. Learns adaptive covariance matrices per cluster for soft SIFT descriptor assignment. Outperforms k-means BOF on Caltech and VOC benchmarks. Published at ICIP 2012.
The Analyzer project goal is to detect clusters of points in n dimensional space and project it to m dimensional space
Fast fuzzy clustering C (MEX API) implementation for MATLAB (FCM, Gustafson-Kessel, clustering validity, fuzzy partition matrix extrapolation)
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