Incremental Constrained Clustering
1 papers with code • 2 benchmarks • 2 datasets
The goal is to improve a base partition of a dataset by iteratively adding constraints. This is an interactive task : the user reacts to the successive partitions and guides the clustering process towards a desired result using constraints.
Most implemented papers
Incremental Constrained Clustering by Minimal Weighted Modification
Clustering is a well-known task in Data Mining that aims at grouping data instances according to their similarity.