Rederivation of the fuzzy-possibilistic clustering objective function through Bayesian inference
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Publication:2013754
DOI10.1016/j.fss.2015.10.005zbMath1368.62163OpenAlexW1798553821MaRDI QIDQ2013754
Publication date: 9 August 2017
Published in: Fuzzy Sets and Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.fss.2015.10.005
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Multivariate analysis and fuzziness (62H86)
Cites Work
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- Clustering large graphs via the singular value decomposition
- L\({}_ 1\)-norm based fuzzy clustering
- Relational duals of the c-means clustering algorithms
- Cluster validity for fuzzy clustering algorithms
- A survey of fuzzy clustering
- A comment on ``Alternative c-means clustering algorithms.
- Fuzzy \(c\)-varieties/elliptotypes clustering in reproducing kernel Hilbert space.
- Alternative c-means clustering algorithms
- An extension to possibilistic fuzzy cluster analysis
- Fuzzy clustering with high contrast
- A robust algorithm for automatic extraction of an unknown number of clusters from noisy data
- Location-Allocation Problems
- c-means clustering with the l/sub l/ and l/sub infinity / norms
- On the Convergence of Miehle's Algorithm for the Euclidean Multifacility Location Problem
- Well-Separated Clusters and Optimal Fuzzy Partitions
- A Physical Interpretation of Fuzzy ISODATA
- Numerical solution of robust regression problems: computational aspects, a comparison
- Robust regression using iteratively reweighted least-squares
- A new cluster validity index for the fuzzy c-mean
- A note on accelerating the weiszfeld procedure
- A deterministic annealing approach to clustering
- Spatial Models for Fuzzy Clustering
- The Fitting of Power Series, Meaning Polynomials, Illustrated on Band-Spectroscopic Data
- Link-Length Minimization in Networks
- Fuzzy sets
- A new approach to clustering
- Robust Statistics
- On clustering validation techniques
- A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters
- Cluster Validity with Fuzzy Sets
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