Discriminant analysis is a statistical discriminant and grouping technique, which uses the sample data of the research object to find a discriminant rule, which is called a discriminant function, which is used to explain the difference between two or more groups of groups and can classify a new product. The data determines which of the known types the new product belongs to. This paper discusses the discriminant analysis of Fisher's discriminant method and Bayes' discriminant method, and shows the application of the two methods in real life and the difference between them on the basis of R language
Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 20...
A review is given on existing work and result of the performance of some discriminant analysis proce...
A new version of Fisher's discriminant analysis (FDA) is introduced in this paper. Our algorithm sea...
Discriminant analysis is a statistical discriminant and grouping technique, which uses the sample da...
Discriminant analysis is a statistical discriminant and grouping technique, which uses the sample da...
This paper presents a fisher’s criterion, Welch’s criterion, and Bayes criterion for performing a di...
Discriminant analysis is a multivariate statistical technique used primarily for obtaining a linear ...
The technique of discriminant function analysis was originated by R.A. Fisher and first applied by B...
Discriminant analysis is a multivariate statistical technique used primarily for obtaining a linear ...
Discriminant analysis is a supervised learning technique that can be used in order to determine whic...
The use of miltivariate statistics in the social and behavioral'sciences is becoming more and m...
Fisher opened many new areas in Multivariate Analysis, and the one which we will consider is discrim...
Discriminant analysis as a multivariate statistical method was reviewed in this paper. Alongside th...
Includes bibliography.The purpose of the procedures described is to assign “objects” or "observation...
The empirical Bayes Gaussian rule, which in the normal case yields good values of the probability of...
Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 20...
A review is given on existing work and result of the performance of some discriminant analysis proce...
A new version of Fisher's discriminant analysis (FDA) is introduced in this paper. Our algorithm sea...
Discriminant analysis is a statistical discriminant and grouping technique, which uses the sample da...
Discriminant analysis is a statistical discriminant and grouping technique, which uses the sample da...
This paper presents a fisher’s criterion, Welch’s criterion, and Bayes criterion for performing a di...
Discriminant analysis is a multivariate statistical technique used primarily for obtaining a linear ...
The technique of discriminant function analysis was originated by R.A. Fisher and first applied by B...
Discriminant analysis is a multivariate statistical technique used primarily for obtaining a linear ...
Discriminant analysis is a supervised learning technique that can be used in order to determine whic...
The use of miltivariate statistics in the social and behavioral'sciences is becoming more and m...
Fisher opened many new areas in Multivariate Analysis, and the one which we will consider is discrim...
Discriminant analysis as a multivariate statistical method was reviewed in this paper. Alongside th...
Includes bibliography.The purpose of the procedures described is to assign “objects” or "observation...
The empirical Bayes Gaussian rule, which in the normal case yields good values of the probability of...
Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 20...
A review is given on existing work and result of the performance of some discriminant analysis proce...
A new version of Fisher's discriminant analysis (FDA) is introduced in this paper. Our algorithm sea...