Minimum Spanning Tree (MST) algorithms are used to find a subset of edges in a weighted graph that connects all vertices with the minimum total edge weight while avoiding cycles. Two of the most ...

This repository contains an implementation of Kruskal's algorithm in C++ to find the Minimum Spanning Tree (MST) of a graph. The program provides functionalities for loading a graph from a file, ...

In 1983, Gallager, Humblet, and Spira published a distributed algorithm for computing a minimum spanning tree. For several years, I regarded it as a benchmark problem for verifying concurrent ...

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.

Finding minimum spanning trees (MST) in various types of networks is a well-studied problem in theory and practical applications. A number of efficient algorithms have been already developed for this ...

We consider a generalization of the classical minimum spanning tree problem called the generalized minimum spanning tree problem and denoted by GMST problem. It is known that the GMST problem belongs ...

To address this problem to some extent, this article proposes an adaptive mini-minimum spanning tree-based outlier detection (MMOD) method, which utilizes a novel distance measure by scaling the ...

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 ...