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Dimension reduction for logical arrays

score 150 · Answer 1 · 2014-11-13 15:21:52

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Dimension reduction for logical arrays

150 views Asked by Richard Laurant At 13 November 2014 at 15:21

score 1554 · Answer 2 · 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 2447 · Answer 3 · 2020-10-09 16:57:42

Optimal perplexity for t-SNE with using larger datasets (>300k data points)

2.4k views Asked by Darren Wight At 09 October 2020 at 16:57

score 591 · Answer 4 · 2014-01-10 09:28:01

Read Columnwise Matrix in R

591 views Asked by user3181094 At 10 January 2014 at 09:28

score 275 · Answer 5 · 2020-12-15 23:58:31

Global operator along a single dimension in Keras?

275 views Asked by Anthony At 15 December 2020 at 23:58

score 605 · Answer 6 · 2021-02-03 18:36:12

Why is it ok to remove variables with low variance from a dataset

605 views Asked by Amnon At 03 February 2021 at 18:36

score 194 · Answer 7 · 2017-07-21 15:32:29

Dimension reduction using PCA

194 views Asked by user2660120 At 21 July 2017 at 15:32

score 177 · Answer 8 · 2019-11-06 05:39:26

Looking for a function in R to sum rows and cols for matrix reduction

177 views Asked by Pablo Andres Gonzalez Sanchez At 06 November 2019 at 05:39

score 280 · Answer 9 · 2021-10-04 14:15:03

I want to input 3d array(custom data) to sklearn-PCA function

280 views Asked by Seungyeon Baek At 04 October 2021 at 14:15

score 401 · Answer 10 · 2021-08-25 11:00:38

The lstm autoencoder does not use the full dimensions of the latent space for dimension reduction

401 views Asked by Mohannad Assad At 25 August 2021 at 11:00

TechQA.

List Question

Dimension reduction for logical arrays

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

Optimal perplexity for t-SNE with using larger datasets (>300k data points)

Read Columnwise Matrix in R

Global operator along a single dimension in Keras?

Why is it ok to remove variables with low variance from a dataset

Dimension reduction using PCA

Looking for a function in R to sum rows and cols for matrix reduction

I want to input 3d array(custom data) to sklearn-PCA function

The lstm autoencoder does not use the full dimensions of the latent space for dimension reduction

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