Flow-Based Algorithms for Improving Clusters: A Unifying Framework, Software,…
Clustering points in a vector space or nodes in a graph is a ubiquitous primitive in statistical data analysis, and it is commonly used for exploratory data analysis. In practice, it is often of in…
Non-Exhaustive, Overlapping Clustering
Traditional clustering algorithms, such as K-Means, output a clustering that is disjoint and exhaustive, i.e., every single data point is assigned to exactly one cluster. However, in many real-worl…
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