jlizier
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1bb67f0840
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Adding neighbour search utilities in preparation for attempting fast surrogate generation (performing multiple neighbour searches at once where we can); in particular adding a countPointsWithinR with a remapping of the point's indices. Unit test added as well for this.
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2017-11-22 20:48:30 +11:00 |
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jlizier
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9a7ff306c8
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Adding utilities for fast nearest neighbour searchers to handle calculations on new samples and prepare for conditional MI fast surrogates computation
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2016-10-20 09:26:12 +11:00 |
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joseph.lizier
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733da8265d
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Dynamic correlation exclusion, or Theiler window, added to all Kraskov estimators, i.e. Mutual Info, Conditional MI, Multi-info, and thereby the derived classes including transfer entropy. Fixes issue 35
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2014-11-25 12:31:44 +00:00 |
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joseph.lizier
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ba537e948a
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Enhancements to fast nearest neighbour searching for conditional mutual information; utilises points found matching the conditional search criteria in the joint conditional with var1 and var 2 searches.
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2014-11-04 00:57:26 +00:00 |
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joseph.lizier
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57fafd1551
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Adding more methods to nearest neighbour search classes to return collections of points within ranges via arrays, and to use additional criteria in searching or take arguments for one variable that has already been tested. Utilising these new searches within Conditional MI Kraskov estimator algorithm 1
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2014-11-03 04:57:24 +00:00 |
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joseph.lizier
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32c062f880
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Inlining norms in Nearest Neighbour search classes, and adding methods to return Collections of points within ranges
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2014-10-31 12:02:54 +00:00 |
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joseph.lizier
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6ade6d4311
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Adding fast nearest neighbour searcher for univariate data (uses only a sorted array rather than whole k-d tree). Adds an abstract nearest neighbour searcher so calling classes don't necessarily need to know whether they're dealing with uni or multi-variates. MI and conditional MI Kraskov altered to use this where possible.
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2014-10-30 04:04:16 +00:00 |