Abstract: This research uses agglomerative hierarchical clustering to classify credit card users into behaviorally different segments, facilitating data-driven marketing. Examining a large database of ...

I propose adding an implementation for the K-Medoids clustering algorithm to this repository. K-Medoids is a classic clustering technique, similar to K-Means, but uses actual data points (medoids) as ...

Abstract: Clustering is an important phase in data mining. A number of different clustering methods are used to perform cluster analysis: Partitioning Clustering, hierarchical clustering, grid-based ...

Patients with heart failure and reduced ejection fraction (HFrEF) have a high residual risk for heart failure hospitalizations and cardiovascular death. We aimed to use multimodality data to identify ...