The minimum spanning tree clustering algorithm is known to be capable of detecting clusters with irregular boundaries. In this paper, we propose two minimum spanning tree based clustering algorithms.

Prim’s algorithm builds a vertex set and an edge set for the minimum spanning tree by iteratively finding the minimum weight edge with exactly one _______ in the vertex set constructed so far.

This repository supports UMAP, where our manifold models improve projection and visualization quality at low number of neighbors. Additionally, our fast (approximate) minimum spanning tree ...

Keywords: minimum spanning tree, outlier detection, cluster-based outlier detection, data mining, medical data Citation: Li J, Li J, Wang C, Verbeek FJ, Schultz T and Liu H (2023) Outlier detection ...

Structural characterization of nanoclusters is one of the major challenges in nanocluster modeling owing to the multitude of possible configurations of arrangement of cluster atoms. The genetic ...

In this paper, we propose a minimum spanning tree-based method for segmenting brain tumors. The proposed method performs interactive segmentation based on the minimum spanning tree without tuning ...