Partitional fuzzy clustering methods based on adaptive quadratic distances
From MaRDI portal
Publication:853407
DOI10.1016/J.FSS.2006.06.004zbMath1103.68679OpenAlexW2148058615MaRDI QIDQ853407
Nicomedes L. Cavalcanti Junior, Camilo P. Tenório, Francisco de. A. T. de Carvalho
Publication date: 15 November 2006
Published in: Fuzzy Sets and Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.fss.2006.06.004
adaptive quadratic distancesclustering analysisfuzzy cluster interpretationfuzzy partition interpretationpartitional fuzzy clustering methods
Related Items (13)
Fuzzy C-means clustering based on dual expression between cluster prototypes and reconstructed data ⋮ An enhanced clustering function approximation technique for a radial basis function neural network ⋮ Fuzzy \(K\)-means clustering algorithms for interval-valued data based on adaptive quadratic distances ⋮ Parameter estimation of K-distributed sea clutter based on fuzzy inference and Gustafson-Kessel clustering ⋮ A study on the factors influencing the transfer of COVID-19 severe illness patients out of the ICU based on generalized linear mixed effect model ⋮ Participatory Learning Fuzzy Clustering for Interval-Valued Data ⋮ Quantile autocovariances: a powerful tool for hard and soft partitional clustering of time series ⋮ Kernel-based hard clustering methods in the feature space with automatic variable weighting ⋮ Fuzzy clustering of distributional data with automatic weighting of variable components ⋮ A Clustering Method Based on Soft Learning of Model (Prototype) and Dissimilarity Metrics ⋮ PFHC: A clustering algorithm based on data partitioning for unevenly distributed datasets ⋮ Kernel fuzzy \(c\)-means with automatic variable weighting ⋮ Fuzzy C-Means Clustering Algorithms with Weighted Membership and Distance
Uses Software
Cites Work
This page was built for publication: Partitional fuzzy clustering methods based on adaptive quadratic distances
