PCA matrix data compression help

10 次查看（过去 30 天）
Jonny
Jonny 2011-10-16
Hi,
I'm making a neural network for classification(newff or patternnet) and I have a input matrix 400x500 (rows x column) and a target vector 1x500 with [zeros ones] my true/false.
Which PCA algorithm and how I should use on my input matrix to get a matrix 100x500 or 10x500 or 5x500 (data compression) but also to use my target matrix with zeros&ones on this data?
Thank you :)

请先登录，再回答此问题。

采纳的回答

Greg Heath
Greg Heath 2011-10-21
For classification, choose the dimensions in the direction of greatest class separation.
This is not guaranteed using PCA which chooses the dimensions with the largest variances.
For a detailed explanation, search comp.ai.neural-nets and/or comp.soft-sys.matlab with
heath cigar
heath parallel cigar
PLS (Partial-Least-Squares) is more appropriate.
Hope this helps.
Greg

更多回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Dimensionality Reduction and Feature Extraction 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by