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Reduce data dimensionality using curve fitting

score 321 · Answer 1 · 2024-11-25 00:23:15

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Reduce data dimensionality using curve fitting

321 views Asked by lakshayg At 25 November 2024 at 00:23

score 1188 · Answer 2 · 2015-06-17 13:15:50

Random projection in Python Pandas using a dataframe containing NaN values

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score 637 · Answer 3 · 2015-06-22 11:48:52

How to deal with different sizes of sentences when giving them as input to a Neural Network?

637 views Asked by Azrael At 22 June 2015 at 11:48

score 69 · Answer 4 · 2024-11-25 00:46:58

Using Matlab, what's the best way to import a set of images into a data matrix so that I can run dimensionality reduction algorithms efficiently?

69 views Asked by user3457834 At 25 November 2024 at 00:46

score 10965 · Answer 5 · 2024-11-25 00:08:15

LDA ignoring n_components?

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score 1519 · Answer 6 · 2014-11-21 00:35:29

In natural language processing (NLP), how do you make an efficient dimension reduction?

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score 2653 · Answer 7 · 2024-11-25 00:27:52

Dimensionality Reduction using Self Organizing Maps

2.6k views Asked by Pooja At 25 November 2024 at 00:27

score 264 · Answer 8 · 2024-11-25 00:41:58

How can I find a projection to preserve the relative value of inner product?

264 views Asked by xunzhang At 25 November 2024 at 00:41

score 4136 · Answer 9 · 2024-11-25 00:33:37

Reducing dimensionality on training data with PCA in Matlab

4.1k views Asked by user3094936 At 25 November 2024 at 00:33

score 1485 · Answer 10 · 2024-11-25 00:25:13

Linear Discriminant Analysis transform function

1.4k views Asked by Ansh David At 25 November 2024 at 00:25

TechQA.

List Question

Reduce data dimensionality using curve fitting

Random projection in Python Pandas using a dataframe containing NaN values

How to deal with different sizes of sentences when giving them as input to a Neural Network?

Using Matlab, what's the best way to import a set of images into a data matrix so that I can run dimensionality reduction algorithms efficiently?

LDA ignoring n_components?

In natural language processing (NLP), how do you make an efficient dimension reduction?

Dimensionality Reduction using Self Organizing Maps

How can I find a projection to preserve the relative value of inner product?

Reducing dimensionality on training data with PCA in Matlab

Linear Discriminant Analysis transform function

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