## Keywords (419)

Keywords
Linear Discriminate Analysis

# LDA,Linear Discriminate Analysis,Linear Discriminant Analysis,linear discrimination analysis,linear discriminative analysis,Linear discriminants analy

Linear Discriminate Analysis - LDA
Publications: 4,945| Citation Count: 46,630
Stemming Variations: Linear Discriminant Analysis, linear discrimination analysis, linear discriminative analysis, Linear discriminants analysis, Linear Discriminant Analysi

## Definition Context (5)

• Linear Discriminant Analysis (LDA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Despite these efforts, there persist in the traditional LDA some weaknesses...

### Vo Dinh Minh Nhat, et al. Block LDA for Face Recognition

• Linear Discriminant Analysis (LDA) is a well-known method for dimensionality reduction and classiflcation. LDA in the binary-class case has been shown to be equivalent to linear regression with the class label as the output. This implies that LDA for binary-class classiflcations can be formulated as a least squares problem. With the least squares formulation, LDA can be applied to large scale classiflcations by employing existing methods for solving least squares problems such as those based on conjugate gradient...

### Jieping Ye. Least squares linear discriminant analysis

• Linear Discriminant Analysis (LDA) is a well-known and important tool in pattern recognition with potential appli cations in many areas of research. The most famous and used formulation of LDA is that given by the Fisher-Rao criterion, where the problem reduces to a simple simultaneous diagonalization of two symmetric, positive-definite matri ces, A and B; i.e...

### Manli Zhu, et al. Selecting Principal Components in a Two-Stage LDA Algorithm

• Linear Discriminant Analysis (LDA) is a popular data-analytic tool for studying the class relationship between data points. A major disadvantage of LDA is that it fails to discover the local geometrical structure of the data manifold...

### Deng Cai, et al. Locality Sensitive Discriminant Analysis

• Linear Discriminant Analysis (LDA) is a well-known scheme for supervised subspace learning. It has been widely used in the applications of computer vision and pattern recognition. However, an intrinsic limitation of LDA is the sensitivity to the presence of outliers, due to using the Frobenius norm to measure the inter-class and intra-class distances...

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## Publications (4945)

### Classification of Hepatitis Patients and Fibrosis Evaluation using Decision Trees and Linear Discriminant Analysis

Published in 2013.

### A composite urine biomarker reflects interstitial inflammation in lupus nephritis kidney biopsies(Citations: 1)

Journal: Kidney International - KIDNEY INT , vol. 81, no. 4, pp. 401-406, 2012

### Detecting and distinguishing moisture- and salinity-induced stress in wheat and maize through in situ spectroradiometry measurements(Citations: 1)

Published in 2012.

### Ensemble classifiers(Citations: 1)

Published in 2012.

### Pattern-based discrimination of organic acids and red wine varietals by arrays of synthetic receptors

Journal: Supramolecular Chemistry - SUPRAMOL CHEM , vol. ahead-of-p, no. ahead-of-p, pp. 1-7, 2012