Multiple discriminant analysis in the presence of mixed continuous and categorical data

DOI10.1016/0898-1221(86)90071-4zbMath0589.62045OpenAlexW2037754277MaRDI QIDQ3718002

Wojtek Janusz Krzanowski

Publication date: 1986

Published in: Computers & Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0898-1221(86)90071-4

zbMATH Keywords

datamultiple discriminant analysisclassification by minimum distancelocation model for mixed datamaximum-likelihood discriminant rulemixed continuous and categoricaltwo-group case

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (3)

A comparison between two distance-based discriminant principles ⋮ The location model for mixtures of categorical and continuous variables ⋮ Quadratic location discriminant functions for mixed categorical and continuous data

Cites Work

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• Decision rule, based on the distance, for the classification problem
• Mixtures of Continuous and Categorical Variables in Discriminant Analysis: A Hypothesis-Testing Approach
• Distance between populations using mixed continuous and categorical variables
• Mixtures of Continuous and Categorical Variables in Discriminant Analysis
• Discrimination and Classification Using Both Binary and Continuous Variables
• Separate sample logistic discrimination
• Multivariate Correlation Models with Mixed Discrete and Continuous Variables

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