| Commit message (Collapse) | Author | Age | Files | Lines | |
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| * | Benchmarks: mtree and vptree benchmark updates | Douglas Rumbaugh | 2023-07-25 | 1 | -2/+13 |
| | | | | | | | | | | Note: cosine similarity doesn't seem to work for VPTree--I don't think that it is actually a metric, upon further research. At the very least I can't find anyone claiming it is, and I've found several people claiming it isn't. On testing with the Word2Vec data, Euclidean distance works insofar as the M-Tree and VPTree return the same KNN results for test queries, whereas Cosine Similarity does not work. | ||||
| * | M-Tree benchmarks | Douglas Rumbaugh | 2023-07-24 | 1 | -3/+29 |
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| * | Cosine Similarity Type | Douglas Rumbaugh | 2023-07-24 | 1 | -1/+1 |
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| * | Benchmarking: Added utility functions for VPTree/KNN | Douglas Rumbaugh | 2023-07-23 | 1 | -4/+67 |
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| * | BTree-based baselines for IRS and Range queries | Douglas Rumbaugh | 2023-07-23 | 1 | -2/+29 |
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| * | Benchmarking updates | Douglas Rumbaugh | 2023-07-23 | 1 | -8/+34 |
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| * | Benchmark updates | Douglas Rumbaugh | 2023-06-26 | 1 | -1/+1 |
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| * | Benchmark refactoring/cleanup | Douglas Rumbaugh | 2023-06-13 | 1 | -11/+36 |
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| * | Benchmark refactoring | Douglas Rumbaugh | 2023-06-13 | 1 | -0/+236 |