Active Informative Pairwise Constraint Formulation Algorithm for Constraint-Based Clustering

Active Informative Pairwise Constraint Formulation Algorithm for Constraint-Based Clustering

Constraint-based clustering utilizes pairwise constraints to improve clustering performance. In this paper, we propose a novel formulation algorithm to generate more informative pairwise constraints from limited queries for the constraint-based clustering. Our method consists of two phases: pre-clus...

Bibliografiset tiedot
Päätekijät:	Guoxiang Zhong, Xiuqin Deng, Shengbing Xu
Aineistotyyppi:	Artikkeli
Kieli:	English
Julkaistu:	IEEE 2019-01-01
Sarja:	IEEE Access
Aiheet:	Constraint-based clustering pairwise constraint weak sample strong sample symmetric relative entropy
Linkit:	https://ieeexplore.ieee.org/document/8740960/

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