Exploratory data analysis of interval-valued symbolic data with matrix visualization

DOI10.1016/j.csda.2014.04.012zbMath1506.62090OpenAlexW1975510656MaRDI QIDQ1623650

Yin-Jing Tien, Chiun-How Kao, Sheau-Hue Shieh, Chuan-kai Yang, Junji Nakano, Han-Ming Wu, Chun-Houh Chen

Publication date: 23 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2014.04.012

zbMATH Keywords

EDAexploratory data analysisinterval-valued datasymbolic data analysisproximity matrixgeneralized association plotsmatrix visualization

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Graphical methods in statistics (62A09)

Related Items

Constrained center and range joint model for interval-valued symbolic data regression, Optimal combination of aircraft maintenance tasks by a novel simplex optimization method, Automatic clustering algorithm for interval data based on overlap distance, An automatic clustering for interval data using the genetic algorithm, Combining Interval Time Series Forecasts. A First Step in a Long Way (Research Agenda)

Uses Software

• SODAS
• GAP
• ZAME

Cites Work

• Standardization of interval symbolic data based on the empirical descriptive statistics
• New clustering methods for interval data
• Dynamic clustering for interval data based on \(L_2\) distance
• Linear disriminant analysis for interval data
• Principal component analysis on interval data
• Using data images for outlier detection
• Constrained linear regression models for symbolic interval-valued variables
• GAP: a graphical environment for matrix visualization and cluster analysis
• I-scal: Multidimensional scaling of interval dissimilarities
• Centre and range method for fitting a linear regression model to symbolic interval data
• Handbook of data visualization.
• Crossed Clustering Method on Symbolic Data Tables
• Symbolic Data Analysis
• Seriation and matrix reordering methods: An historical overview
• Modelling interval data with Normal and Skew-Normal distributions
• Symbolic Data Analysis and the SODAS Software
• 6. Symbolic Data Analysis
• Analysis of symbolic data. Exploratory methods for extracting statistical information from complex data
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