There are 6 repositories under constrained-clustering topic.
Python re-implementation of the (constrained) spectral clustering algorithms used in Google's speaker diarization papers.
A Python implementation of COP-KMEANS algorithm
A python implementation of KMeans clustering with minimum cluster size constraint (Bradley et al., 2000)
Implementing COP-Kmeans and PC-Kmeans
Repository for the Constraint Satisfaction Clustering method and other constrained clustering algorithms
Active query strategies for semi-supervised clustering on top of scikit-learn and SciPy
Submission for DS 2020
A toolbox for Weighted Sparse Simplex Representation (WSSR).
Algorithm for clustering with fairness constraints.
We use our customer geolocation data to perform a clustering algorithm to get several clusters in which the member data of each cluster are closest to each other using KMeans and Constrained-KMeans Algorithms.
A python implementation of MIP-Kmeans algorithm
Implementing COP-Kmeans and PC-Kmeans
Constraind kmeans algorithm for Python 3.x.
An Exact Solver for Cardinality-constrained Minimum Sum-of-Squares Clustering
An Exact Solver for Semi-supervised Minimum Sum-of-Squares Clustering
Implementation of the Incremental and Active Clustering (IAC) framework
Topic Modeling with Logical Constraints on Words
Erwan SCHILD PHD report on Interactive Clustering methodology.
Code for running various online constrained clustering methods with different parameter combinations.
Repositorio de la asignatura Metaheurísticas cursada en la UGR. Curso 2019-2020.
A solver for a class of constrained graph clustering problems
A solver for a class of constrained graph clustering problems
Rmarkdown in PDFTeX