Fuzzy clustering of distributional data with automatic weighting of variable components
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Publication:2293261
DOI10.1016/j.ins.2017.04.040zbMath1429.62249OpenAlexW2607931573MaRDI QIDQ2293261
Francisco de. A. T. de Carvalho, Antonio Irpino, Rosanna Verde
Publication date: 7 February 2020
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2017.04.040
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Multivariate analysis and fuzziness (62H86)
Related Items (5)
Batch self-organizing maps for distributional data with an automatic weighting of variables and components ⋮ Co-clustering algorithms for distributional data with automated variable weighting ⋮ Fuzzy data analysis and classification. Special issue in memoriam of Professor Lotfi A. Zadeh, father of fuzzy logic ⋮ M-LDQ feature embedding and regression modeling for distribution-valued data ⋮ Robust synchronization of chaotic systems with novel fuzzy rule-based controllers
Cites Work
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- Basic statistics for distributional symbolic variables: a new metric-based approach
- Partitional fuzzy clustering methods based on adaptive quadratic distances
- A fuzzy extension of the silhouette width criterion for cluster analysis
- A polythetic clustering process and cluster validity indexes for histogram-valued objects
- Partitional clustering algorithms for symbolic interval data based on single adaptive distances
- A class of Wasserstein metrics for probability distributions
- Feature weighting in \(k\)-means clustering
- Comparing clusterings -- an information based distance
- Copula analysis of mixture models
- Clustering and aggregation of relational data with applications to image database categorization
- A distance metric for multidimensional histograms
- On Choosing and Bounding Probability Metrics
- Dissimilarity Measures for Histogram-valued Observations
- Analysis of symbolic data. Exploratory methods for extracting statistical information from complex data
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