| Name | Version | Summary | date |
| kmeanssa-ng |
0.5.0 |
K-means clustering on quantum graphs and metric spaces using simulated annealing |
2025-11-02 12:59:35 |
| exact-clustering |
0.5.1 |
Find optimal clusterings and optimal hierarchical clusterings. |
2025-10-11 17:30:51 |
| synloc |
0.2.4 |
A Python package to create synthetic data from locally estimated distributions |
2025-10-07 00:40:56 |
| PySSPFM |
2024.12 |
PySSPFM: A specialized tool for Switching Spectroscopy Piezoresponse Force Microscopy (SSPFM) data processing |
2025-02-01 20:25:50 |
| microagg1d |
0.4.0 |
A package to perform optimal univariate microaggregation for various cost functions. |
2025-01-08 16:06:58 |
| vasrch |
0.0.11 |
Searching related data by image |
2024-12-24 20:03:10 |
| fast-pytorch-kmeans |
0.2.2 |
a fast kmeans clustering algorithm implemented in pytorch |
2024-12-05 02:59:23 |
| rvc3python |
0.9.2 |
Support for book: Robotics, Vision & Control 3 in Python |
2024-08-06 02:36:49 |
| kmeans-tjdwill |
1.0.4 |
A function-based implementation of k-means clustering that maintains data association. |
2024-07-06 16:55:13 |
| kmins |
0.0.1 |
K-Means algorithm from scratch. |
2024-05-29 16:57:22 |