Automatic clustering and boundary detection algorithm based on adaptive influence function

DOI10.1016/j.patcog.2008.01.021zbMath1154.68495OpenAlexW2024864728MaRDI QIDQ937419

Olga Sourina, Gleb V. Nosovskiy, Dongquan Liu

Publication date: 15 August 2008

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2008.01.021

zbMATH Keywords

data miningdensity-based clusteringclustering algorithms

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (2)

A graph-theoretical clustering method based on two rounds of minimum spanning trees ⋮ Recursive learning for sparse Markov models

Uses Software

• mclust
• clusfind

Cites Work

• Randomised local search algorithm for the clustering problem
• MCLUST: Software for model-based cluster analysis
• Iterative shrinking method for clustering problems
• Model-Based Clustering, Discriminant Analysis, and Density Estimation
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