An initialization method to simultaneously find initial cluster centers and the number of clusters for clustering categorical data-Reference-Cited by-同舟云学术

An initialization method to simultaneously find initial cluster centers and the number of clusters for clustering categorical data

Published:2011-08 Issue:6 Volume:24 Page:785-795
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Bai Liang,Liang Jiye,Dang Chuangyin

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference42 articles.

1. Algorithms for Clustering Data;Jain,1988

2. Cluster Analysis for Applications;Anderberg,1973

3. A clustering technique for summarizing multivariate data;Ball;Behavioral Science,1967

4. J.B. MacQueen, Some methods for classification and analysis of multivariate observationsin, in: Proc. of 5th Berkley Symposium on Mathematical Statistics and Probability, University of California Press, California, 1967.

5. A new approach to clustering;Ruspini;Information Control,1969

Cited by 56 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. A New Cluster Validity Index for Fuzzy Clustering Using Separation and Compactness;2023-02-24

2. A fast method for discovering suitable number of clusters for fuzzy clustering;Intelligent Data Analysis;2022-11-12

3. COIN: Correlation Index-Based Similarity Measure for Clustering Categorical Data;Mathematical Problems in Engineering;2022-09-01

4. Enhancing Cross-border Co-operation of Business Organizations based on the Investigation of Textual- and Categorical Information;Acta Polytechnica Hungarica;2022

5. A Quantum-inspired Particle Swarm Optimization K-means++ Clustering Algorithm;2021 IEEE Symposium Series on Computational Intelligence (SSCI);2021-12-05