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* Update default branch to 'main'Tavian Barnes2020-07-101-2/+2
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* docs: Add some examples to the main pageTavian Barnes2020-07-081-0/+27
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* kd: Use a more traditional k-d tree implementationTavian Barnes2020-07-069-118/+84
| | | | | | | | | The slight extra pruning possible in the previous implementation didn't seem to be worth it. The new, simpler implementation is also about 30% faster in most of the benchmarks. This gets rid of Coordinate{Proximity,Metric} as they're not necessary any more (and the old ExactNeighbors impl was too restrictive anyway).
* Clean up merge_k_nearest*() interface a bitTavian Barnes2020-07-062-47/+41
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* Add methods for merging new neighbors into a vector in-placeTavian Barnes2020-07-032-82/+184
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* Preallocate the heap for k_nearest*()Tavian Barnes2020-07-021-3/+3
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* Version 0.1.10.1.1Tavian Barnes2020-06-291-1/+1
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* Bump criterion to 0.3.3Tavian Barnes2020-06-291-1/+1
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* distance: Expand the Distance docsTavian Barnes2020-06-291-3/+9
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* distance: Expand the Proximity docsTavian Barnes2020-06-291-6/+49
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* Apply some rustfmt suggestionsTavian Barnes2020-06-288-18/+16
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* benches: Deduplicate some code with macrosTavian Barnes2020-06-281-46/+48
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* cos: Add a TryFrom<T> impl for AngularDistance<T>Tavian Barnes2020-06-271-1/+20
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* Fix some clippy lintsTavian Barnes2020-06-272-5/+17
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* docs: Update some linksTavian Barnes2020-06-2710-63/+73
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* docs: Integrate KaTeX and add some formulasTavian Barnes2020-06-279-18/+141
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* euclid: Fix a doc typo (s/Createa/Creates/)Tavian Barnes2020-06-251-1/+1
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* cos: Add prenormalized cosine/angular distances, and an order embeddingTavian Barnes2020-06-251-16/+332
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* cos: Implement cosine and angular distanceTavian Barnes2020-06-252-0/+196
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* Add links to module summariesTavian Barnes2020-06-248-8/+8
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* cargo: Update dependenciesTavian Barnes2020-06-241-2/+2
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* cargo: Make rand a dev dependencyTavian Barnes2020-06-241-2/+2
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* README.md: Add crates.io and docs.rs badgesTavian Barnes2020-06-241-0/+2
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* lp: Implement general L^p spacesTavian Barnes2020-06-242-0/+59
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* hamming: Implement Hamming distance0.1.0Tavian Barnes2020-06-242-0/+77
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* chebyshev: Implement Chebyshev distanceTavian Barnes2020-06-242-0/+121
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* taxi: Implement taxicab distanceTavian Barnes2020-06-242-0/+117
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* docs: Add a READMETavian Barnes2020-06-242-0/+31
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* Add an overview to the documentationTavian Barnes2020-06-241-0/+88
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* kd: Implement flat k-d treesTavian Barnes2020-06-242-1/+162
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* kd: Implement k-d treesTavian Barnes2020-06-243-0/+365
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* vp: Implement flat VP treesTavian Barnes2020-06-242-2/+189
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* vp: Implement vantage-point treesTavian Barnes2020-06-243-0/+380
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* util: Add a wrapper to implement Ord on top of PartialOrdTavian Barnes2020-06-242-0/+56
| | | | | This allows nearest neighbors implementations to sort things by distance or coordinate.
* benches: Add criterion benchmarksTavian Barnes2020-06-242-0/+71
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* exhaustive: Implement an exhaustive search indexTavian Barnes2020-06-243-0/+122
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* lib: Add NearestNeighbors traitTavian Barnes2020-06-241-0/+377
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* euclid: Implement Euclidean distanceTavian Barnes2020-06-242-0/+392
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* coords: Implement coordinate spacesTavian Barnes2020-06-242-0/+115
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* distance: Implement abstract distances, proximities, metricsTavian Barnes2020-06-243-0/+108
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* travis: Do continuous integrationTavian Barnes2020-06-241-0/+11
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* Initialize a new projectTavian Barnes2020-06-244-0/+44
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