Question

Why k and l for LSH used for approximate nearest neighbours?

score 530 · Answer 1 · 2015-06-08 14:33:06

530

Views

Why k and l for LSH used for approximate nearest neighbours?

Published on 08 June 2015 at 14:33

score 1.1k · Answer 2 · 2015-06-17 13:15:50

1.1k

Views

Random projection in Python Pandas using a dataframe containing NaN values

Published on 17 June 2015 at 13:15

score 1.5k · Answer 3 · 2015-06-24 00:16:58

1.5k

Views

example from LSHForest, results not convinced

Published on 24 June 2015 at 00:16

score 590 · Answer 4 · 2015-06-22 06:07:19

590

Views

trying to understand LSH through the sample python code

Published on 22 June 2015 at 06:07

score 438 · Answer 5 · 2016-12-18 21:54:33

438

Views

Locality sensitive hashing - what happens when a bucket is empty?

Published on 18 December 2016 at 21:54

score 478 · Answer 6 · 2016-12-19 18:17:21

478

Views

Cannot get faster results via yarn when running spark in a hadoop cluster

Published on 19 December 2016 at 18:17

score 93 · Answer 7 · 2017-01-05 05:33:32

93

Views

Karlhigley LSH ANN model for finding nearest neighbors giving null results

Published on 05 January 2017 at 05:33

score 166 · Answer 8 · 2013-12-09 06:13:15

166

Views

Matching Differences between two documents

Published on 09 December 2013 at 06:13

score 283 · Answer 9 · 2013-12-31 01:20:35

283

Views

LSH: practice of solving nearest neigbors search

Published on 31 December 2013 at 01:20

score 1.1k · Answer 10 · 2011-11-05 17:30:43

1.1k

Views

How to use Locality Sensitive Hash --LSHKIT

Published on 05 November 2011 at 17:30

score 803 · Answer 11 · 2020-12-11 22:15:19

803

Views

Is the number of rows always 1 in each band in the Spark implementation of MinHashLSH

Published on 11 December 2020 at 22:15

score 2.2k · Answer 12 · 2018-11-17 06:27:51

2.2k

Views

Faster implementation of LSH (AND-OR)

Published on 17 November 2018 at 06:27

score 296 · Answer 13 · 2018-11-28 15:46:15

296

Views

Can Locality Sensitive Hashing be applied on dynamic-dimensional data points?

Published on 28 November 2018 at 15:46

score 73.8k · Answer 14 · 2012-10-18 10:37:48

73.8k

Views

How to understand Locality Sensitive Hashing?

Published on 18 October 2012 at 10:37

score 1.1k · Answer 15 · 2014-01-11 00:02:57

1.1k

Views

Clarification needed about min/sim hashing + LSH

Published on 11 January 2014 at 00:02

score 597 · Answer 16 · 2016-02-24 11:51:05

597

Views

How to detect questions similarity using Locality Sensitive Hashing?

Published on 24 February 2016 at 11:51

score 234 · Answer 17 · 2022-03-01 03:34:54

234

Views

Efficient string similarity search for huge corpora

Published on 01 March 2022 at 03:34

score 478 · Answer 18 · 2016-02-01 17:29:16

478

Views

Applying LSH approach by using sparse matrix instead of dense matrix

Published on 01 February 2016 at 17:29

score 472 · Answer 19 · 2016-02-05 00:37:47

472

Views

Order preserving mapping from utf8 to an array of bytes

Published on 05 February 2016 at 00:37

score 3.2k · Answer 20 · 2011-11-30 14:43:18

3.2k

Views

Make a Sim Hash (Locality Sensitive Hashing) Algorithm more accurate?

Published on 30 November 2011 at 14:43

List Question

Why k and l for LSH used for approximate nearest neighbours?

Random projection in Python Pandas using a dataframe containing NaN values

example from LSHForest, results not convinced

trying to understand LSH through the sample python code

Locality sensitive hashing - what happens when a bucket is empty?

Cannot get faster results via yarn when running spark in a hadoop cluster

Karlhigley LSH ANN model for finding nearest neighbors giving null results

Matching Differences between two documents

LSH: practice of solving nearest neigbors search

How to use Locality Sensitive Hash --LSHKIT

Is the number of rows always 1 in each band in the Spark implementation of MinHashLSH

Faster implementation of LSH (AND-OR)

Can Locality Sensitive Hashing be applied on dynamic-dimensional data points?

How to understand Locality Sensitive Hashing?

Clarification needed about min/sim hashing + LSH

How to detect questions similarity using Locality Sensitive Hashing?

Efficient string similarity search for huge corpora

Applying LSH approach by using sparse matrix instead of dense matrix

Order preserving mapping from utf8 to an array of bytes

Make a Sim Hash (Locality Sensitive Hashing) Algorithm more accurate?

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