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### What is the relationship between regression and linear discriminant analysis (LDA)?

Is there a relationship between regression and linear discriminant analysis (LDA)? What are their similarities and differences? Does it make any difference if there are two classes or more than two ...
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### Three versions of discriminant analysis: differences and how to use them

Can anybody explain differences and give specific examples how to use these three analyses? LDA - Linear Discriminant Analysis FDA - Fisher's Discriminant Analysis QDA - Quadratic Discriminant ...
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### Discriminant analysis vs logistic regression

I found some pros of discriminant analysis and I've got questions about them. So: When the classes are well-separated, the parameter estimates for logistic regression are surprisingly unstable. ...
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### Algebra of LDA. Fisher discrimination power of a variable and Linear Discriminant Analysis

Apparently, the Fisher analysis aims at simultaneously maximising the between-class separation, while minimising the within-class dispersion. A useful measure of the discrimination power of a ...
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In R, I use lda function from library MASS to do classification. As I understand LDA, input $... 1answer 7k views ### Bayesian and Fisher's approaches to linear discriminant analysis I know 2 approaches to do LDA, the Bayesian approach and the Fisher's approach. Suppose we have the data$(x,y)$, where$x$is the$p$-dimensional predictor and$y$is the dependent variable of$K$... 1answer 2k views ### Sources' seeming disagreement on linear, quadratic and Fisher's discriminant analysis I'm studying discriminant analysis, but I'm having a difficult time reconciling several different explanations. I believe I must be missing something, because I've never encountered this (seeming) ... 2answers 2k views ### Why is LDA considered to be a classifier? I am new to machine learning and I was reading about dimensional reduction algorithms like LDA(linear discriminant analysis) and PCA. Currently I am using LDA to find the optimal dimensions that ... 1answer 1k views ### Relation of Mahalanobis Distance to Log Likelihood The Wikipedia entry on Mahalanobis Distance contains this note: Another intuitive description of Mahalanobis distance is that it is square root of the negative log likelihood. That is, the ... 2answers 1k views ### Can you use discriminant analysis to classify new observations into categories generated by a previous$k\$-means clustering?

After doing k-means clustering on a set of observations, I would like to construct a discriminant function so as to classify new observations into the categories I found after k-means. Is this at all ...
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### How is the tied covariance matrix enforced in Linear Discriminant Analysis?

In the general case of Gaussian Discriminant Analysis, we learn the Gaussian parameters for each class. I understand that if each class distribution has the same covariance matrix, then the learned ...
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### Interpreting LD1 and LD2 in lda in R

I'm conducting an experiment in R. I am using the rattle library that contains a sample of the wine related data. Within this ...
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### A question on discriminant analysis- Linear discriminant function

Above is part of an examination paper. I am not sure how to understand this SAS output. Especially what is there in the last table which looks to me like two discriminant functions. Can someone help ...