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Optimal discriminant analysis

Optimal Discriminant Analysis (ODA) and the related classification tree analysis (CTA) are exact statistical methods that maximize predictive… (More)
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1994-2010
01219942010

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Data miningDecision treeFactor analysisIEEE Transactions on Pattern Analysis and Machine Intelligence
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Broader (1)

Statistical classification

Related mentions per year

Related mentions per year

1936-2019
19401960198020002020
Optimal discriminant analysis
Statistical classification
Machine learning
Data mining
Decision tree
Logistic regression

Papers overview

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2010
2010
Reduction of processing time for optimal and quadratic discriminant analyses
A fast algorithm is presented for optimal discriminant analysis and quadratic discriminant analysis. In this algorithm, the… (More)
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2007
2007
Sparse Kernels for Bayes Optimal Discriminant Analysis
Discriminant Analysis (DA) methods have demonstrated their utility in countless applications in computer vision and other areas… (More)
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2004
2004
Multi-modal nonlinear feature reduction for the recognition of handwritten numerals
A novel method of multi-modal nonlinear feature reduction is proposed for the recognition of handwritten numerals. In order to… (More)
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2004
2004
Feature dimensionality reduction for the verification of handwritten numerals
A novel method based on multi-modal discriminant analysis is proposed to reduce feature dimensionality. First, each class is… (More)
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1999
1999
Adapting the Warmack-Gonzalez algorithm to handle discrete data
Soltysik and Yarnold propose, as a method for two-group multivariate optimal discriminant analysis (MultiODA), selecting a linear… (More)
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1997
1997
One-tailed Type I error rates for balanced two-category UniODA with a random ordered attribute
Directional (one-tailed) two-category univariable optimal discriminant analysis has proved highly useful for applications… (More)
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1994
1994
The WARMACK-GONZALEZ algorithm for linear two-category multivariable optimal discriminant analysis
 
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