OCLUS: an analytic method for generating clusters with known overlap
From MaRDI portal
Publication:286608
DOI10.1007/s00357-005-0015-6zbMath1336.62191OpenAlexW2077702199MaRDI QIDQ286608
Douglas Steinley, Robert A. Henson
Publication date: 25 May 2016
Published in: Journal of Classification (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00357-005-0015-6
Related Items (18)
Functional factorial \(K\)-means analysis ⋮ A characterization of power method transformations through the method of percentiles ⋮ Dimension reduction for longitudinal multivariate data by optimizing class separation of projected latent Markov models ⋮ Simulating mixtures of multivariate data with fixed cluster overlap in FSDA library ⋮ Initialization of Hidden Markov and Semi‐Markov Models: A Critical Evaluation of Several Strategies ⋮ Factorial and reduced \(K\)-means reconsidered ⋮ Affinity propagation: An exemplar‐based tool for clustering in psychological research ⋮ Selection of variables in cluster analysis: An empirical comparison of eight procedures ⋮ Clustering of functional data in a low-dimensional subspace ⋮ Finite mixture models and model-based clustering ⋮ Order-constrained solutions in \(K\)-means clustering: even better than being globally optimal ⋮ Affinity propagation and uncapacitated facility location problems ⋮ Validating clusters with the lower bound for sum-of-squares error ⋮ A comparison of heuristic procedures for minimum within-cluster sums of squares partitioning ⋮ Studying Complexity of Model-based Clustering ⋮ Using an iterative reallocation partitioning algorithm to verify test multidimensionality ⋮ MDCGen: multidimensional dataset generator for clustering ⋮ Intelligent choice of the number of clusters in \(K\)-means clustering: an experimental study with different cluster spreads
This page was built for publication: OCLUS: an analytic method for generating clusters with known overlap
