algo-hhu/bico

BICO is a fast streaming algorithm to compute coresets for the k-means problem on very large sets of points.

Language: C++ - Size: 5.28 MB - Last synced at: 12 days ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

algo-hhu/fair-kmeans

Fair K-Means produces a fair clustering assignment according to the fairness definition of Chierichetti et al. Each point has a binary color, and the goal is to assign the points to clusters such that the number of points with different colors in each cluster is the same and the cost of the clusters is minimized.

Language: C++ - Size: 221 KB - Last synced at: 2 days ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

algo-hhu/FLSpp

Implementation of the FLS++ algorithm for K-Means clustering.

Language: C++ - Size: 12.6 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 4 - Forks: 1

algo-hhu/k-min-sum-radii

kMSR provides a selection of algorithms to solve the k-Min-Sum-Radii problem.

Language: C++ - Size: 2.07 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

algo-hhu/chatgpt-maxflow-evaluation 📦

Ergebnisse der Bachelorarbeit "Evaluation von ChatGPT-implementierten Maximalfluss-Algorithmen" von Joschua Theyhsen

Language: C++ - Size: 219 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

algo-hhu/exact-kmeans

Produces optimal k-means solutions for small instances and small k.

Language: Python - Size: 739 KB - Last synced at: 12 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

algo-hhu/.github

Size: 4.88 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0