The Euclidean distance classifier: an alternative to the linear discriminant function

1987 ◽  
Vol 16 (2) ◽  
pp. 485-505 ◽  
Author(s):  
Virgil R. Marco ◽  
Dean M. Young ◽  
Danny W. Turner
Keyword(s):  
Discriminant Function ◽  
Euclidean Distance ◽  
Linear Discriminant Function ◽  
Linear Discriminant

scholarly journals On the Error Rate Comparison of the Quadratic Discriminant Function, Euclidean Distance Classifier, Fisher’s Linear Discriminant Function and the Vine Copulas

2018 ◽  
Vol 8 (1) ◽  
pp. 113
Author(s):  
A. Nanthakumar
Keyword(s):  
Discriminant Function ◽  
Error Rate ◽  
Euclidean Distance ◽  
Error Rates ◽  
Linear Discriminant Function ◽  
Misclassification Error ◽  
Classification Problems ◽  
Linear Discriminant ◽  
Quadratic Discriminant Function ◽  
Vine Copulas

The estimation of the error rates is of vital importance in classification problems as this is used as a basis to choose the best discriminant function; that is, the one with a minimum misclassification error. The quadratic discriminant function (QDF), Euclidean Distance Classifier (EDC), and Fisher’s Linear Discriminant Function (FLDC) have been in use for a long time for the purpose of classification. In this paper, we compare the misclassification error rate of the QDF, EDC, and FLDC with the Vine Copulas based on Gaussian and Clayton models. The results were obtained for the general case where the means are unequal and the covariance matrices are unequal.

scholarly journals A Method for the Statistical Selection of a Panel of Rum Tasters

1969 ◽  
Vol 60 (1) ◽  
pp. 105-112
Author(s):  
Calixta S. Torres ◽  
Juan L. Aguiar ◽  
Eleanor F. Gotay
Keyword(s):  
Discriminant Function ◽  
Agricultural Research ◽  
Research Unit ◽  
Latin Squares ◽  
Linear Discriminant Function ◽  
Evaluation Index ◽  
Statistical Techniques ◽  
Linear Discriminant ◽  
Statistical Selection ◽  
Selection Of

Employees of an agricultural research unit were evaluated for selection as rum tasters. Prospects were classified and ranked considering their relative consistency in four organoleptic tests of four rum samples and their evaluation relative to those of an experienced rum taster. Statistical techniques used were variance analysis of Latin squares for the scores of the evaluation of 10 rum attributes and the calculation of a rum evaluation index for each taster using a linear discriminant function.

Obsidian Blades from La Blanca, a Changing Lithic Industry on the South Coast of Guatemala

1991 ◽  
Vol 2 (4) ◽  
pp. 371-383 ◽  
Author(s):  
C. Roger Nance ◽  
Katharine A. Kirk
Keyword(s):  
Low Power ◽  
Discriminant Function ◽  
Linear Discriminant Function ◽  
South Coast ◽  
Linear Discriminant ◽  
Bipolar Technology ◽  
Lithic Industry ◽  
Edge Wear ◽  
Middle Preclassic ◽  
Discriminant Function Analyses

In a study of Middle Preclassic (Conchas phase) ceramics from the site of La Blanca, Love (1989) derived a sequence of four subphases. Here, the focus is on 431 prismatic obsidian blades excavated from the same deposits in order to discern if patterns of change can be discovered in this lithic industry. For each blade, recorded attributes describe blade dimensions and edge wear, as observed through low-power microscopy. Chronological controls were set by ceramic associations. Through the sequence, blades became smaller and more fragmentary, due, we hypothesized, to an increasing scarcity of obsidian. As predicted from these trends, we found that wear patterns became more pronounced through time, and use of a bipolar technology became increasingly important for removing (rejuvenating) worn lateral edges. A definite obsidian-blade sequence emerged, which was investigated through linear discriminant-function analyses.

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