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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… 
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Data miningDecision treeFactor analysisIEEE Transactions on Pattern Analysis and Machine Intelligence

Broader (1)

Statistical classification

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
ODA: Stata module for conducting Optimal Discriminant Analysis
Optimal Discriminant Analysis (ODA) is a machine learning algorithm that was introduced over 25 years ago to offer an alternative… 
2013
2013
Initial Use of Hierarchically Optimal Classification Tree Analysis In Medical Research
Univariate optimal discriminant analysis (UniODA) is a non-parametric classification methodology for discriminating between two… 
2011
2011
Optimal Discriminant Analysis Based on Kernel Extension of Graph Embedding and Face Recognition
By making use of compressive mapping and isomorphic mapping in the kernel extension of graph embedding,this paper proves that the… 
2010
2010
Reduction of processing time for optimal and quadratic discriminant analyses
2009
2009
Infrared Image Segmentation Using Two-Dimensional Fisher Linear Optimal Discriminant Analysis and Particle Swarm Optimization
Two-dimensional(2-D) Fisher linear optimal discriminant analysis,which considers the gray information and spatial neighbor… 
2007
2007
Face Recognition Based on Kernel Fisher Nonlinear Optimal Discriminant Analysis
Extracting the most discriminatory features is important in face recognition tasks. In the case of a small number of face samples… 
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… 
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… 
1999
1999
Adapting the Warmack-Gonzalez algorithm to handle discrete data
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… 
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