Dissimilarity Measures for Histogram-valued Observations

DOI10.1080/03610926.2011.581785zbMath1298.62100OpenAlexW2061213247MaRDI QIDQ5299075

Jaejik Kim, L. Billard

Publication date: 25 June 2013

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2011.581785

zbMATH Keywords

intersectionunioniris datacumulative distribution dissimilarity measuresextended DeCarvalhoextended Gowda-Didayextended Ichino-Yaguchi

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Pattern recognition, speech recognition (68T10)

Related Items (9)

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 ⋮ Dissimilarity measures and divisive clustering for symbolic multimodal-valued data ⋮ Copulas and Histogram-Valued Data ⋮ Classification of histogram-valued data with support histogram machines ⋮ Basic statistics for distributional symbolic variables: a new metric-based approach ⋮ Clustering of modal-valued symbolic data ⋮ Fuzzy clustering of distributional data with automatic weighting of variable components ⋮ Joint model for bivariate zero-inflated recurrent event data with terminal events

Cites Work

• Clustering reduced interval data using Hausdorff distance
• On measuring the distance between histograms,
• Introduction to Nonparametric Regression
• Symbolic Data Analysis
• A monothetic clustering method
• Generalized Minkowski metrics for mixed feature-type data analysis
• Analysis of symbolic data. Exploratory methods for extracting statistical information from complex data

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