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goodness of fit of umap

score 456 · Answer 1 · 2022-08-05T20:22:00.353000

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goodness of fit of umap

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score 304 · Answer 3 · 2021-10-04T14:15:03.227000

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

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

score 421 · Answer 4 · 2021-08-25T11:00:38.587000

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

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

score 631 · Answer 5 · 2021-02-03T18:36:12.127000

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

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

score 297 · Answer 6 · 2020-12-15T23:58:31.523000

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

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score 383 · Answer 8 · 2020-06-10T16:40:08.870000

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383 views Asked by Philipp Maurischat At 10 June 2020 at 16:40

score 184 · Answer 9 · 2020-05-09T14:02:43.393000

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184 views Asked by Zyrax At 09 May 2020 at 14:02

score 205 · Answer 10 · 2019-11-06T05:39:26.157000

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

score 2218 · Answer 11 · 2019-06-26T21:54:23.613000

Why tsne method use Euclidean distance to compute the similarities in high dimensional data?

2.2k views Asked by CuishleChen At 26 June 2019 at 21:54

score 162 · Answer 12 · 2019-03-09T21:29:26.120000

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162 views Asked by Adel Ali Taleb At 09 March 2019 at 21:29

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855 views Asked by morteza rahimi At 05 January 2019 at 15:31

score 101 · Answer 15 · 2018-06-18T12:21:38.330000

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101 views Asked by Shahroozevsky At 18 June 2018 at 12:21

score 309 · Answer 16 · 2018-03-09T21:25:50.917000

After dimension reduction using SVD, what is the meaning of the reduced dimsnion?

309 views Asked by Ying Li At 09 March 2018 at 21:25

score 223 · Answer 17 · 2017-07-21T15:32:29.943000

Dimension reduction using PCA

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

score 89 · Answer 18 · 2017-07-10T17:58:34.690000

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89 views Asked by Tanmay Bhatnagar At 10 July 2017 at 17:58

score 709 · Answer 19 · 2017-02-16T02:31:03.167000

How to use QR-Decomposition to reduce the dimension of a dataset?

709 views Asked by shdotcom At 16 February 2017 at 02:31

score 1481 · Answer 20 · 2016-07-30T14:18:11.230000

Orthogonal matching pursuit

1.4k views Asked by Mehraveh Salehi At 30 July 2016 at 14:18

TechQA.

List Question

goodness of fit of umap

numpy convert N-D array to a list of (N-1)D array without loop

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

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

Global operator along a single dimension in Keras?

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

How to compute/extract the residual variance from an Isomap [vegan] model in R

Mapping a numerical function with two inputs onto one with one input

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

Why tsne method use Euclidean distance to compute the similarities in high dimensional data?

How to use a function that changes during training with keras

Confirmatory Factor Analysis in Python

Dimensional reduction through subspace clustering

The Curse of high Dimension And Distance

After dimension reduction using SVD, what is the meaning of the reduced dimsnion?

Dimension reduction using PCA

Using features without applying PCA

How to use QR-Decomposition to reduce the dimension of a dataset?

Orthogonal matching pursuit

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