Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

Discriminant Analysis

Known as: Discriminant Function Analysis, Discriminant Analyses, multiple discriminant analysis 
A statistical analytic technique used with discrete dependent variables, concerned with separating sets of observed values and allocating new values… Expand
National Institutes of Health

Related topics

Related topics

1 relation

Broader (1)

Multivariate Analysis

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2016
Review
2016
Principal component analysis: a review and recent developments
Large datasets are increasingly common and are often difficult to interpret. Principal component analysis (PCA) is a technique… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
Highly Cited
2011
Highly Cited
2011
MorphoJ: an integrated software package for geometric morphometrics
Increasingly, data on shape are analysed in combination with molecular genetic or ecological information, so that tools for… Expand
Highly Cited
2008
Highly Cited
2008
Sexing skulls using discriminant function analysis of visually assessed traits.
  • P. Walker
  • American journal of physical anthropology
  • 2008
    • Corpus ID: 41506196
The accuracy of sex determinations based on visual assessments of the mental eminence, orbital margin, glabellar area, nuchal… Expand
  • figure 1
  • table 1
  • table 2
  • table 3
  • table 4
Highly Cited
2007
Highly Cited
2007
Regularized linear discriminant analysis and its application in microarrays.
In this paper, we introduce a modified version of linear discriminant analysis, called the "shrunken centroids regularized… Expand
  • figure 1
  • figure 2
  • table 1
  • table 2
  • table 3
Highly Cited
2003
Highly Cited
2003
Prediction of clinical outcome with microarray data: a partial least squares discriminant analysis (PLS-DA) approach
Partial least squares discriminant analysis (PLS-DA) is a partial least squares regression of a set Y of binary variables… Expand
  • table 1
  • figure 2
  • table 2
  • figure 3
  • figure 4
Highly Cited
2000
Highly Cited
2000
Predicting the probability for falls in community-dwelling older adults using the Timed Up & Go Test.
BACKGROUND AND PURPOSE This study examined the sensitivity and specificity of the Timed Up & Go Test (TUG) under single-task… Expand
Highly Cited
2000
Highly Cited
2000
Acoustic identification of twelve species of echolocating bat by discriminant function analysis and artificial neural networks.
We recorded echolocation calls from 14 sympatric species of bat in Britain. Once digitised, one temporal and four spectral… Expand
  • table 1
  • figure 1
  • figure 2
  • table 2
  • table 3
Highly Cited
1996
Highly Cited
1996
Computational method to predict mitochondrially imported proteins and their targeting sequences.
Most of the proteins that are used in mitochondria are imported through the double membrane of the organelle. The information… Expand
  • figure 1
  • table 1
  • table 2
  • table 3
  • table 4
Highly Cited
1995
Highly Cited
1995
Modified disease activity scores that include twenty-eight-joint counts. Development and validation in a prospective longitudinal study of patients with rheumatoid arthritis.
OBJECTIVE The development and validation of Modified Disease Activity Scores (DAS) that include different 28-joint counts… Expand
  • table 1
  • table 2
Review
1984
Review
1984
Physical measurements as risk indicators for low-back trouble over a one-year period.
Of all 30-, 40-, 50-, and 60-year-old inhabitants of Glostrup, a suburb of Copenhagen, 82% (449 men and 479 women) participated… Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License
ACCEPT & CONTINUE