| Commit message (Collapse) | Author | Age | Files | Lines | |
|---|---|---|---|---|---|
| * | Benchmarking programs | Douglas B. Rumbaugh | 2024-01-15 | 1 | -83/+0 |
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| * | KNN Benches: added k as an optional cmdline argument | Douglas Rumbaugh | 2023-07-25 | 1 | -9/+4 |
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| * | Benchmarks: mtree and vptree benchmark updates | Douglas Rumbaugh | 2023-07-25 | 1 | -4/+42 |
| | | | | | | | | | | 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 | -0/+50 |