Ising-Based Kernel Clustering

Ising-Based Kernel Clustering

Combinatorial clustering based on the Ising model is drawing attention as a high-quality clustering method. However, conventional Ising-based clustering methods using the Euclidean distance cannot handle irregular data. To overcome this problem, this paper proposes an Ising-based kernel clustering m...

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Bibliographic Details
Main Authors: Masahito Kumagai, Kazuhiko Komatsu, Masayuki Sato, Hiroaki Kobayashi
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Algorithms
Subjects:
kernel clustering
simulated annealing
Ising model
constraint function
Online Access:https://www.mdpi.com/1999-4893/16/4/214

Internet

https://www.mdpi.com/1999-4893/16/4/214

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