5 Commits

Author	SHA1	Message	Date
Paul Johnson	9cff593c68	Remove unused variables and parameter warnings (#4767) ... Remove the following types of build warnings: warning C4189: local variable is initialized but not referenced warning C4100: unreferenced parameter warning C4101: unreferenced local variable I have only commented out unused variables and used [[maybe_unused]] for unused parameters.	2025-12-22 09:59:31 -03:00
Mark Liversedge	4c720884b6	DataFilter - kmeans() ... .. kmeans(centers|assignments, k, dim1, dim2 .. dimn) perform a k means cluster on data with multiple dimensions and return the centers, or the assignments. the return values are ordered so they can be displayed easily in an overview table e.g. values { kmeans(centers, 3, metrics(TSS), metrics(IF)); } .. will look at how we might plot these in charts with either color coding of points or perhaps voronoi diagrams.	2021-09-28 17:31:09 +01:00
Mark Liversedge	4c6c8e6d71	Additional Windows fixups for Fast Kmeans ... .. std::max needs <algorithm> and don't need <unistd> at all.	2021-09-28 11:45:34 +01:00
Mark Liversedge	5fb2dfb73e	Fast Kmeans on Windows ... .. remove unused general functions that work with memory and time in a non-portable way.	2021-09-28 11:35:32 +01:00
Mark Liversedge	1dc1cd678f	Fast Kmeans Algorithm ... .. with grateful thanks to Greg Hamerly A fast kmeans algorithm described here: https://epubs.siam.org/doi/10.1137/1.9781611972801.12 The source repository is also here: https://github.com/ghamerly/fast-kmeans NOTE: The original source has been included largely as-is with a view to writing a wrapper around it using Qt semantics for use in GoldenCheetah (e.g. via datafilter) The original source included multiple kmeans algorithms we have only kept the `fast' Hamerly variant.	2021-09-28 10:25:17 +01:00