scholarly journals Osobennosti prepodavaniia metodov diskriminantnogo analiza dlia podgotovki spetsialistov po napravleniiu "biznes-informatika"

2019 ◽  
pp. 107-133
Author(s):  
Dmitrii Sergeevich Sizykh ◽  
Natalia Vasilevna Sizykh

Teaching peculiarities of the discriminant analysis methods for training specialists in the «business informatics» field are considered in the study. For these specialists it is important to understand the essence of the model, algorithm of its practical implementation, and approaches for assessing and analyzing the obtained results. Also it is important to understand, why, where, when and how it is possible to apply this method. All this determines the practical orientation of the teaching process.

Author(s):  
David Zhang ◽  
Fengxi Song ◽  
Yong Xu ◽  
Zhizhen Liang

In this chapter, we mainly present three kinds of weighted LDA methods. In Sections 5.1, 5.2 and 5.3, we respectively present parameterized direct linear discriminant analysis, weighted nullspace linear discriminant analysis and weighted LDA in the range of within-class scatter matrix. We offer a brief summery of the chapter in Section 5.4.


1994 ◽  
Vol 161 ◽  
pp. 227-233
Author(s):  
F. Murtagh

A short overview is presented of a number of different discriminant analysis methods. An ‘uncertainty principle’ is presented in regard to the issue of user choice of appropriate method. The discriminant analysis methods described are then used in the important problem of feature selection. A hand-classified set of HST Guide Star plate data is used, with star/galaxy/fault classes.


2016 ◽  
Vol 57 (8) ◽  
pp. 1238-1243 ◽  
Author(s):  
D. Van Weehaeghe ◽  
J. Ceccarini ◽  
A. Delva ◽  
W. Robberecht ◽  
P. Van Damme ◽  
...  

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