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On the Equivalence of Linear Discriminant Analysis and Least Squares

Proceedings of the AAAI Conference on Artificial Intelligence, 2015
Linear discriminant analysis (LDA) is a popular dimensionality reduction and classification method that simultaneously maximizes between-class scatter and minimizes within-class scatter. In this paper, we verify the equivalence of LDA and least squares (LS) with a set of dependent variable matrices.
Kibok Lee 0003, Junmo Kim
openaire   +1 more source

Perturbation analysis for an orthogonal least‐squares estimator

Canadian Journal of Statistics, 1995
AbstractCoordinate measuring machines (CMMs) are used to check the geometric integrity of component parts. The geometric constraints to which a part must conform, as defined e.g., by The American National Standards Institute, assume the use of some type of gauging system when inspecting the part.
openaire   +1 more source

A Least Squares Approach to Linear Discriminant Analysis

SIAM Journal on Scientific and Statistical Computing, 1991
A new approach to linear discriminant analysis that puts the burden of the computational load on solving a linear least squares problem rather than on solving a generalized eigensystem is presented. The problem being solved is that of reducing the dimension of a vector space in which several classes of objects are to have the best possible separation ...
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Deformation Analysis With Least Squares And Total Least Squares Methods

In this study, application of Total Least Squares TLS method in deformation analysis and comparison of its results with the Least Squares LS method was aimed. In this context, GPS observations collected in a landslide area nearby BüyükçekmeceGürpinar landslide region in October 1997 and in March 1998 were processed.
ACAR, Mustafa   +2 more
openaire   +1 more source

Quantitative Error Analysis for the Least-Squares Imaging

IEEE Transactions on Geoscience and Remote Sensing, 2022
Jidong Yang   +3 more
openaire   +1 more source

Partial Least Squares Analysis

2012
Miriam Zelditch   +2 more
openaire   +1 more source

Least-squares analysis

2001
Saul I. Gass, Carl M. Harris
openaire   +1 more source

Least Median of Squares Regression

Journal of the American Statistical Association, 1984
Peter Rousseeuw
exaly   +2 more sources

The 1973 Least-Squares Adjustment of the Fundamental Constants

Journal of Physical and Chemical Reference Data, 1973
Cohen E Richard
exaly  

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