Data representation via refined discriminant analysis and common class structure

2022 ◽  
Author(s):  
F. Dornaika ◽  
A. Khoder ◽  
W. Khoder
Keyword(s):  
Discriminant Analysis ◽  
Data Representation ◽  
Class Structure

Nonpeaked Discriminant Analysis for Data Representation

2019 ◽  
Vol 30 (12) ◽  
pp. 3818-3832 ◽  
Author(s):  
Qiaolin Ye ◽  
Zechao Li ◽  
Liyong Fu ◽  
Zhao Zhang ◽  
Wankou Yang ◽  
...  
Keyword(s):  
Discriminant Analysis ◽  
Data Representation

scholarly journals Convolutional 2D LDA for Nonlinear Dimensionality Reduction

2017 ◽  
Author(s):  
Qi Wang ◽  
Zequn Qin ◽  
Feiping Nie ◽  
Yuan Yuan
Keyword(s):  
Neural Networks ◽  
Discriminant Analysis ◽  
Convolutional Neural Networks ◽  
High Volume ◽  
Data Representation ◽  
Nonlinear Dimensionality Reduction ◽  
Complex Data ◽  
Two Dimensional ◽  
Linear Discriminant ◽  
Discriminant Ability

Representing high-volume and high-order data is an essential problem, especially in machine learning field. Although existing two-dimensional (2D) discriminant analysis achieves promising performance, the single and linear projection features make it difficult to analyze more complex data. In this paper, we propose a novel convolutional two-dimensional linear discriminant analysis (2D LDA) method for data representation. In order to deal with nonlinear data, a specially designed Convolutional Neural Networks (CNN) is presented, which can be proved having the equivalent objective function with common 2D LDA. In this way, the discriminant ability can benefit from not only the nonlinearity of Convolutional Neural Networks, but also the powerful learning process. Experiment results on several datasets show that the proposed method performs better than other state-of-the-art methods in terms of classification accuracy.

An Introduction to Discriminant Analysis

1989 ◽  
Vol 22 (3) ◽  
pp. 158-168 ◽  
Author(s):  
Carl J Huberty ◽  
Richard M. Barton
Keyword(s):  
Discriminant Analysis

Brief Report. The PCL-R and Gender

2000 ◽  
Vol 16 (3) ◽  
pp. 147-149 ◽  
Author(s):  
Martin Grann
Keyword(s):  
Gender Differences ◽  
Sexual Behavior ◽  
Discriminant Analysis ◽  
Juvenile Delinquency ◽  
Violent Offenders ◽  
Matched Pairs ◽  
Psychopathy Checklist ◽  
Psychopathy Checklist Revised ◽  
And Gender

Summary: Hare's Psychopathy Checklist - Revised (PCL-R; Hare, 1991 ) was originally constructed for use among males in correctional and forensic settings. In this study, the PCL-R protocols of 36 matched pairs of female and male violent offenders were examined with respect to gender differences. The results indicated a few significant differences. By means of discriminant analysis, male Ss were distinguished from their female counterparts through their relatively higher scores on “callous/lack of empathy” (item 8) and “juvenile delinquency” (item 18), whereas the female Ss scored relatively higher on “promiscuous sexual behavior” (item 11). Some sources of bias and possible implications are discussed.

The Assessment of Fear of Flying: Elaboration and Validation of a Videotape as an Analogous Situation of a Flight1

1997 ◽  
Vol 13 (2) ◽  
pp. 118-130 ◽  
Author(s):  
Juan I. Capafóns ◽  
Carmen D. Sosa ◽  
Manuel Herrero ◽  
Conrado Viña
Keyword(s):  
Heart Rate ◽  
Discriminant Analysis ◽  
Post Treatment ◽  
Subjective Measure ◽  
Physiological Measures ◽  
Personal Safety ◽  
Metal Detector ◽  
Fear Of Flying ◽  
Situational Anxiety ◽  
Treatment Measures

The results are presented for the validation of a videotape as an analogous situation for a flight. The video includes the most significant elements of a flight by air: confirmation of the flight, packing, going to the airport, checking-in, going through the metal-detector, departure lounge, boarding the plane, demonstration of the personal safety drills, interiors and exteriors during the flight and landing. Two physiological measures are used for validation (heart rate and temperature) and a subjective measure (situational anxiety, SA). The results (both t-tests and the discriminant analysis) indicate that the videotape is able to discriminate between phobics and non-phobics of flying in the three variables considered. With respect to sensitivity in detecting change produced by various treatments in clients with phobia of flying, the results are also satisfactory. A greater differentiation is produced between the pre-post treatment measures, both in subjective and in the physiological measures.

Comparison of Examinees’ and Doctors’ Judgement of Health Status Using Data in an AMHTS

1984 ◽  
Vol 23 (01) ◽  
pp. 15-22
Author(s):  
Y. Sekita ◽  
T. Ohta ◽  
M. Inoue ◽  
H. Takeda
Keyword(s):  
Health Status ◽  
Discriminant Analysis ◽  
Explanatory Power ◽  
Laboratory Data ◽  
Subjective Symptom ◽  
Health Conditions ◽  
Testing System ◽  
Multiple Discriminant Analysis ◽  
Canonical Axis ◽  
Using Data

SummaryJudgements of examinees’ health status by doctors and by the examinees themselves are compared applying multiple discriminant analysis. The doctors’ judgements of the examinees’ health status are studied comparatively using laboratory data and the examinees’ subjective symptom data.This data was obtained in an Automated Multiphasic Health Testing System. We discuss the health conditions which are significant for the judgement of doctors about the examinees. The results show that the explanatory power, when using subjective symptom data, is fair in the case of the doctors’ judgement. We found common variables, such as nervousness, lack of perseverance etc., which form the first canonical axis.

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