# Questions tagged [lda-classifier]

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1answer
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### Linear discriminant analysis in R: how to choose the most suitable model?

The data set vaso in the robustbase library summarizes the vasoconstriction (or not) of subjects’ fingers along with their breathing volumes and rates. ...
1answer
141 views

### Problems with Linear Discriminant Analysis Classifier

I wrote two functions for determining the linear discriminant classifier of a EEG data-set. The data set consists preprocessed EEG data 𝑋∈𝑅5×62×5322 and stimulus labels 𝑌∈𝑅2×5322 during a copy-...
1answer
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### Linear Discriminant Analysis + bayesian theorem = LDA classifier??

I am new to machine learning and as I learn about Linear Discriminant Analysis, I can't see how it is used as a classifier. I can understand the difference between LDA and PCA and I can see how LDA ...
1answer
2k views

### Linear Discriminant Analysis, which parameters can be tunned in cross validation set up?

I am implementing Linear Discriminant Analysis in R, which parameters can be tunned in cross validation set up? In regularized mode called penalizedLDA there are parameters which are optimised but I ...
0answers
124 views

### Linear Discriminant Analysis (LDA) , Removing colinear features in cross validation set up is correct or not?

My data is a matrix with 725 features and 667 observations which have binary data(either 0 or 1). my target variable is a univariate which has two classes (either 0 or 1). I removed the features which ...
1answer
3k views

### Difference between LDA and Naive Bayes

LDA: linear discriminant analysis Suppose we have a classification problem. I understand that the data can be such that the features may have discrete values or continuous values. Suppose our data ...
2answers
324 views

### Is there a relationship between LDA, linear SVMs and Perceptron?

LDA (linear discriminant analysis), SVMs with a linear kernel, and perceptrons are linear classifiers. Is there any other relationship between them, e.g.: Every decision boundary that can be found by ...