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Download LDA Tutorial by ['Siddharth Mishra'] in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About LDA Tutorial
The document provides an overview of Linear Discriminant Analysis (LDA) for dimensionality reduction. It begins by stating that unlike PCA, LDA aims to preserve class discriminatory information when reducing dimensions. It then discusses LDA for two classes, showing how it finds a projection axis that maximizes separation between class means while minimizing within-class variance. This is done by solving a generalized eigenvalue problem involving between-class and within-class scatter matrices. The document illustrates the approach on a two-dimensional example, computing class means, covariances, and the LDA projection axis.
Detailed Information
| Author: | ['Siddharth Mishra'] |
|---|---|
| Publication Year: | 2015 |
| Pages: | 47 |
| Language: | English |
| Format: | |
| Price: | FREE |
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