Questions tagged [discriminant-analysis]

Question 1

Lefse is a widely used tool in metagenimics with implementations in python and R. (The former is the original one, which under the hood relies on R, the latter is a re-implementation in R.) The final ...

Question 2

I am trying to understand the CVA function in the Morpho package in R, which performs canonical variate analysis, aka, linear discriminant analysis. I am confused as to how the canonical variates (CV),...

Question 3

I am working on a case-cohort (~ case-control, but putting all cases in the subcohort) study evaluating miRNA markers. The variables of interest are continuous quantitative measures of miRNA ...

Question 4

I conducted a 2x2 MANOVA with 9 dependent variables and found a significant main effect for one of the independent variables, which I want to examine further. So far, I have run univariate ANOVAs with ...

Question 5

I was recently pointed to a class of somewhat well known dimensionality reduction techniques under the name of "Sufficient Dimension Reduction" (e.g. here). I am struggling to understand ...

Question 6

The objective of Fisher's Discriminant Analysis, or Linear Discriminant Analysis as a dimensionality reduction technique is to find the set of features $W$ that maximize the ratio between the between-...

Question 7

I am reading "Introduction to Statistical Learning" by Hastie and Tishbirani. They say on page 148 that we look for the class $k$ for which we maximize the function $$\delta_k(x) =x \cdot \...

Question 8

I currently have a project on applying dimensionality reduction using PLS to the LDA classification method. Is the determination of the components used in LDA tested using the LDA model or using the ...

Question 9

I have a dataset where students vote for a class speaker. This dataset includes the student's id, the class speaker that he/she is voting for, and his/her sociodemographic characteristics (gender, age,...

Question 10

I'm trying to understand the behavior of Linear Discriminant Analysis (LDA) in a dataset where a certain variable(s) is highly correlated with many others, yet - let's say for the sake of simplicity ...

Question 11

I have sometimes seen in published work that when estimating covariance matrices, off-diagonal elements are set to 0. For example, in this paper, $N$ neurons are recorded and authors wish to use the $...

Question 12

I have about 1000 labelled observations from about 50 subjects responding physiologically under different situations and am trying to classify the situation (usually into three classes of roughly ...

Question 13

I have a dataset composed of captures of individuals (ringed birds), all from the same species. Because the captures took place during spring, summer and autumn, we have trapped breeding and migrating ...

Question 14

Assume that you have an image $X$ and you want to search a specific small object inside the image $X$. It's only one object. So you training an AdaBoost model with only one valid train sample and the ...

Question 15

So far I have performed an LDA having two classes, but I'm really struggling with certain aspectos of the analysis. I am working with biomedical data in which I would like to classify in k=2 groups: ...

Stack Exchange Network

Questions tagged [discriminant-analysis]

Linear discriminant analysis: what is "class means along discriminant axis"?

Interpreting source code for linear discriminant analysis

Impact of Excessive Zeros in miRNA Data on PCA and LDA

Follow-Up Analysis of a MANOVA Main Effect using DDA (Descriptive Discriminant Analysis)/CDA (Canonical Discriminant Analysis) in R

Sufficient Dimension Reduction (inverse regression) vs Discriminant Analysis

Does Fisher's Discriminant Analysis (FDA) whiten the within-classes covariance? Intuition behind it?

Linear Discriminant Analysis - Basic Question regarding the formulas

how is the optimal component selection on PLS-LDA?

Equivalent of Discriminant Analysis with Categorical Variables as Predictors

Influence of covariance on the LDA functions

What are the implications of setting off-diagonal elements of estimated covariance to 0?

Is it valid to exhaustively test all possible combinations of features to find the best combination?

Creating a discriminant function from one known group and one mixed group

Can AdaBoost discriminate the data?

Two-class LDA with multiple variables: can we separate classes and know the weight of variables?

Hot Network Questions