A bi-criteria analysis for fuzzy \(C\)-means problem

DOI10.1007/978-3-030-57602-8_14zbMath1482.68223OpenAlexW3047681131MaRDI QIDQ2039654

Min Li, Qian Liu, Jian-Xin Liu, Yang Zhou

Publication date: 5 July 2021

Full work available at URL: https://doi.org/10.1007/978-3-030-57602-8_14

zbMATH Keywords

bi-criteria analysisfuzzy \(C\)-means problemseeding algorithmfuzzy \(C\)-means algorithm

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Approximation algorithms (68W25) Computational aspects of data analysis and big data (68T09)

Cites Work

• Unnamed Item
• A survey of fuzzy clustering
• A novel initialization algorithm for fuzzy \(C\)-means problem
• Plane graphs with \(\Delta = 7\) are entirely 10-colorable
• Numerical methods for fuzzy clustering
• On Coresets for k-Median and k-Means Clustering in Metric and Euclidean Spaces and Their Applications
• Adaptive Sampling for k-Means Clustering
• A Bi-Criteria Approximation Algorithm for k-Means
• Least squares quantization in PCM
• Fuzzy sets