Soft clustering - MaRDI portal

Cites Work

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CECM: constrained evidential \(C\)-means algorithm
Model-based clustering, classification, and discriminant analysis via mixtures of multivariate \(t\)-distributions
A general trimming approach to robust cluster analysis
Shadowed \(c\)-means: integrating fuzzy and rough clustering
Relational duals of the c-means clustering algorithms
Estimating the dimension of a model
Gaussian clustering method based on maximum-fuzzy-entropy interpretation
Possibilistic and probabilistic fuzzy clustering: Unification within the framework of the non-extensive thermostatistics
Robust, fuzzy, and parsimonious clustering, based on mixtures of factor analyzers
Interval set clustering of web users with rough \(K\)-means
Mixtures of generalized hyperbolic distributions and mixtures of skew-\(t\) distributions for model-based clustering with incomplete data
An extension to possibilistic fuzzy cluster analysis
Integrating rough set principles in the graded possibilistic clustering
An extension to rough \(c\)-means clustering based on decision-theoretic rough sets model
Fuzzy clustering: more than just fuzzification
ECM: An evidential version of the fuzzy \(c\)-means algorithm
Some refinements of rough \(k\)-means clustering
Latent Variable Models and Factor Analysis
The EM Algorithm and Extensions, 2E
A Partitive Rough Clustering Algorithm
Evolutionary Rough k-Medoid Clustering
Robust Estimation in the Normal Mixture Model Based on Robust Clustering
Rough sets
Finding Groups in Data
How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis
Model-Based Gaussian and Non-Gaussian Clustering
Model-Based Clustering, Discriminant Analysis, and Density Estimation
Finite mixture models
A mixture of generalized hyperbolic distributions