Questions tagged [lda-classifier]
8 questions
4
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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 contains continuous feature values. Then we can…
user1825567
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3
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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 want to know which parameters are turned in case…
KHAN irfan
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3
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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 LDA can be found by linear SVM
Every decision…
Martin Thoma
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2
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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.
> head(vaso)
Volume Rate Y
1 3.70 0.825 1
2 3.50 1.090 1
3 1.25 2.500 1
4 0.75 1.500…
Helen
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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 is used as dimension reduction method. I've read…
Kid_Learning_C
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2
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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 had zero as column sums, so features reduced to…
KHAN irfan
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1
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1 answer
Comparison of classifier confusion matrices
I tried implementing Logistic regression, Linear Discriminant Analysis and KNN for the smarket dataset provided in "An Introduction to Statistical Learning" in python.
Logistic Regression and LDA was pretty straight forward in terms of…
NoobHere
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Problems with Linear Discriminant Analysis Classifier
I wrote two functions for determining the linear discriminant classifier of an EEG data set. The data set consists of preprocessed EEG data ∈5×62×5322 and stimulus labels ∈2×5322 during a copy-spelling paradigm with a P300 speller. The data matrix X…
me4gqp
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