Ising-Based Combinatorial Clustering Using the Kernel Method

Author:

Kumagai Masahito1,Komatsu Kazuhiko2,Sato Masayuki1,Kobayashi Hiroaki1

Affiliation:

1. Tohoku University,Graduate School of Information Sciences,Sendai,Japan

2. Tohoku University,Cyberscience Center,Sendai,Japan

Funder

Tohoku University

Publisher

IEEE

Reference22 articles.

1. Balanced k-Means Clustering on an Adiabatic Quantum Computer;arthur;arXiv e-prints pages arXiv-2008,2020

2. Combinatorial Clustering Based on an Externally-Defined One-Hot Constraint

3. An External Definition of the One-Hot Constraint and Fast QUBO Generation for High-Performance Combinatorial Clustering

4. Performance and power analysis of a vector computing system;komatsu;Supercomputing Frontiers and Innovations,2021

5. Performance evaluation of a vector supercomputer SX-aurora TSUBASA;komatsu;SC14 International Conference for High Performance Computing Networking Storage and Analysis SC,0

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Investigating the Characteristics of Ising Machines;2023 IEEE International Conference on Quantum Computing and Engineering (QCE);2023-09-17

2. Ising-Based Kernel Clustering;Algorithms;2023-04-19

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