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Reduce data dimensionality using curve fitting

score 326 · Answer 1 · 2024-12-26 11:40:00

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Reduce data dimensionality using curve fitting

326 views Asked by lakshayg At 26 December 2024 at 11:40

score 1200 · Answer 2 · 2024-12-15 19:05:13

Random projection in Python Pandas using a dataframe containing NaN values

1.2k views Asked by cavs At 15 December 2024 at 19:05

score 645 · Answer 3 · 2024-12-25 05:15:37

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

645 views Asked by Azrael At 25 December 2024 at 05:15

score 73 · Answer 4 · 2024-12-26 11:51:12

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?

73 views Asked by user3457834 At 26 December 2024 at 11:51

score 10974 · Answer 5 · 2024-12-26 11:34:36

LDA ignoring n_components?

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score 1526 · Answer 6 · 2024-12-25 21:39:44

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

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score 2663 · Answer 7 · 2024-12-26 00:07:27

Dimensionality Reduction using Self Organizing Maps

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score 268 · Answer 8 · 2024-12-26 11:48:36

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

268 views Asked by xunzhang At 26 December 2024 at 11:48

score 4141 · Answer 9 · 2024-12-26 11:44:30

Reducing dimensionality on training data with PCA in Matlab

4.1k views Asked by user3094936 At 26 December 2024 at 11:44

score 1492 · Answer 10 · 2024-12-26 11:40:49

Linear Discriminant Analysis transform function

1.4k views Asked by Ansh David At 26 December 2024 at 11:40

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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