Fuzzy C-means soft balance clustering algorithm driven by distribution entropy

The invention relates to a clustering problem in the field of machine learning, in particular to a fuzzy C-means soft balance clustering algorithm driven by distribution entropy, which comprises the following steps: 1, defining the distribution entropy of a hard label matrix; 2, defining a correspon...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: YIN HONGWEI, WANG ZHEYUN, JIANG YUNLIANG, HU WENJUN
Format: Patent
Sprache:chi ; eng
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