TOBAE: a density-based agglomerative clustering algorithm

DOI10.1007/s00357-015-9166-2zbMath1335.62102OpenAlexW2072827523MaRDI QIDQ269546

Shehzad Khalid, Shahid Razzaq

Publication date: 19 April 2016

Published in: Journal of Classification (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00357-015-9166-2

zbMATH Keywords

clusteringfilteringnonparametricnoise removalagglomerativeautomaticdensity distributiondensity thresholdterrainwater puddles

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Uses Software

• apcluster
• APCluster
• DENCLUE
• ROCK

Cites Work

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• Clustering by Passing Messages Between Data Points
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• Activity classification and anomaly detection using \(m\)-mediods based modelling of motion patterns
• Estimating the cluster tree of a density by analyzing the minimal spanning tree of a sample
• Cure: An efficient clustering algorithm for large databases
• Unsupervised Curve Clustering using B‐Splines
• Model-Based Clustering, Discriminant Analysis, and Density Estimation

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