Multiple discriminant analysis

Known as: MDA 
Multiple Discriminant Analysis (MDA) is a method for compressing a multivariate signal to yield a lower-dimensional signal amenable to classification… (More)
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Topic mentions per year

Topic mentions per year

1983-2017
05101519832017

Papers overview

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2016
2016
The proliferation of low-cost IEEE 802.15.4 ZigBee wireless devices in critical infrastructure applications presents security… (More)
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2014
2014
Energy resolved photon-counting detectors could achieve more than one spectral measurement. The goal of this study is to… (More)
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2011
2011
Multiple discriminant analysis (MDA) is a generalization of the Fisher discriminant analysis (FDA) and makes it possible to… (More)
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2009
2009
This paper presents a projection-based location system in an indoor wireless local area network (WLAN) environment. Our algorithm… (More)
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Highly Cited
2007
Highly Cited
2007
The Fisher linear discriminant (FLD) is commonly used in pattern recognition. It finds a linear subspace that maximally separates… (More)
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Highly Cited
2006
Highly Cited
2006
Broken rotor bars in induction motors can be detected by monitoring any abnormality of the spectrum amplitudes at certain… (More)
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2006
2006
An iterative, nonhierarchical, divisive, polythetic method of clustering phytosociological data is described and an efficient… (More)
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2005
2005
Research on linear text segmentation has been an on-going focus in NLP for the last decade, and it has great potential for a wide… (More)
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2004
2004
This paper proposes a method for performing fuzzy multiple discriminant analysis on groups of crisp data and determining the… (More)
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2004
2004
Multiple discriminant analysis is a useful multivariate technique in vegetation studies that can be employed for several purposes… (More)
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