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Reduce data dimensionality using curve fitting

score 319 · Answer 1 · 2015-06-17 19:31:42

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Reduce data dimensionality using curve fitting

319 views Asked by lakshayg At 17 June 2015 at 19:31

score 1187 · Answer 2 · 2015-06-17 13:15:50

Random projection in Python Pandas using a dataframe containing NaN values

1.1k views Asked by cavs At 17 June 2015 at 13:15

score 635 · 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?

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

score 68 · Answer 4 · 2014-11-15 19:05:11

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?

68 views Asked by user3457834 At 15 November 2014 at 19:05

score 10963 · Answer 5 · 2014-11-16 23:45:21

LDA ignoring n_components?

10.9k views Asked by Andrew Latham At 16 November 2014 at 23:45

score 1517 · Answer 6 · 2014-11-21 00:35:29

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

1.5k views Asked by zxzx179 At 21 November 2014 at 00:35

score 2652 · Answer 7 · 2014-11-23 06:20:36

Dimensionality Reduction using Self Organizing Maps

2.6k views Asked by Pooja At 23 November 2014 at 06:20

score 262 · Answer 8 · 2013-12-09 03:26:45

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

262 views Asked by xunzhang At 09 December 2013 at 03:26

score 4134 · Answer 9 · 2013-12-14 13:59:51

Reducing dimensionality on training data with PCA in Matlab

4.1k views Asked by user3094936 At 14 December 2013 at 13:59

score 1484 · Answer 10 · 2017-08-29 18:53:34

Linear Discriminant Analysis transform function

1.4k views Asked by Ansh David At 29 August 2017 at 18:53

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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