$Safe Semi-Supervised Fuzzy <inline-formula> <tex-math notation="LaTeX">${C}$ </tex-math></inline-formula>-Means Clustering$

Safe Semi-Supervised Fuzzy <inline-formula> <tex-math notation="LaTeX">${C}$ </tex-math></inline-formula>-Means Clustering

With the rapid increase in the number of collected data samples, semi-supervised clustering (SSC) has become a useful mining tool to find an intrinsic data structure with the help of prior knowledge. The common used prior knowledge includes pair-wise constraints and cluster labels. In the past decad...

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Bibliographic Details
Main Author:	Haitao Gan
Format:	Article
Language:	English
Published:	IEEE 2019-01-01
Series:	IEEE Access
Subjects:	Unsupervised clustering semi-supervised clustering fuzzy <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">c</italic>-means wrong labels
Online Access:	https://ieeexplore.ieee.org/document/8764532/

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