SpectralCAT: categorical spectral clustering of numerical and nominal data

DOI10.1016/j.patcog.2011.07.006zbMath1225.68171OpenAlexW2109622481MaRDI QIDQ645872

Gil David, Amir Z. Averbuch

Publication date: 10 November 2011

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2011.07.006

zbMATH Keywords

dimensionality reductionspectral clusteringdiffusion mapscategorical data clustering

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items

Equi-Clustream: a framework for clustering time evolving mixed data ⋮ Clustering sparse binary data with hierarchical Bayesian Bernoulli mixture model ⋮ Improved support vector machine algorithm for heterogeneous data ⋮ Hierarchical data organization, clustering and denoising via localized diffusion folders ⋮ Fuzzy granular gravitational clustering algorithm for multivariate data ⋮ An equi-biased \(k\)-prototypes algorithm for clustering mixed-type data ⋮ A new rule reduction and training method for extended belief rule base based on DBSCAN algorithm ⋮ SpectralCAT ⋮ Polar Classification of Nominal Data

Uses Software

• UCI-ml
• clusfind
• COOLCAT

Cites Work

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