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ID | Category | Severity | Reproducibility | Date Submitted | Last Update | ||
0000643 | [ALGLIB] Data analysis | feature | have not tried | 2015-01-22 16:01 | 2018-01-25 18:07 | ||
Reporter | SergeyB | View Status | public | ||||
Assigned To | SergeyB | ||||||
Priority | normal | Resolution | implemented | Platform | |||
Status | resolved | OS | |||||
Projection | none | OS Version | |||||
ETA | none | Fixed in Version | 3.10.0 | Product Version | |||
Target Version | 3.10.0 | Product Build | |||||
Summary | 0000643: IMPLEMENTED: faster k-means clusterization (blocked, parallel) | ||||||
Description |
New incarnation of k-means is much faster than previous version due to several improvements: * initialization algorithm was remastered - we can choose between random initialization, k-means++ (high-quality but slower and non-parallelizable), and "fast-greedy" algorithm which gives reasonably good results while being cache-efficient and parallelizable. * main k-means iteration is now blocked and parallelized, which significantly improves performance on large-scale datasets |
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Steps To Reproduce | |||||||
Additional Information | |||||||
Programming language | Unspecified | ||||||
Attached Files | |||||||
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