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Results tagged with discriminant-analysis
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user 217348
Linear Discriminant Analysis (LDA) is a dimensionality reduction and classification method. It finds low-dimensional subspace with the strongest class separation and uses it to perform classification. Use this tag for quadratic DA (QDA) too.
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Updating the Decision Surfaces of a trained LDA classifier for Face Recognition
I want to perform an experiment where I compare two classifiers based on LDA:
The first classifier is trained on all images of one half of the total amount of persons in the data set
The second clas …
- 81
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Compute and graph the LDA decision boundary
I want to start of by thanking @amoeba says Reinstate Monica & ttnphns for their contributions that have greatly helped me! I'm so grateful in fact, I'd want to buy them a drink or be able to return t …
- 81
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LDA vs QDA on the AT&T dataset, poor QDA performance
I am obtaining two very different accuracies for the AT&T face database when fitting the model with lda & qda. Before using QDA I first search for the ideal regularisation parameter, AFAIK the only im …
- 81
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Soft classification after Fisher LDA with MLE
EDIT: any help is appreciated!
I am using Fisher's LDA for an image classification application. Let's say I have labeled data of 20 [100x100]px face images per person with a total of 100 persons, ev …
- 81
2
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Accepted
Soft classification after Fisher LDA with MLE
Fisher's LDA version maximizes a class-separability criterion, The ratio of the within class scatter to between class scatter. Where samples from the same class should be clustered tight together, and …
- 81
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Accepted
LDA vs QDA on the AT&T dataset, poor QDA performance
I figured it out, QDA needs to be trained on less features! (Images are 64x64 pixels => 4096 features)
LDA can be used for dimensionality reduction in a first step, keeping let's say 6 discriminating …
- 81