As an important technique for data pre-processing, outlier detection plays a crucial role in various real applications and has gained substantial attention, especially in medical fields. Despite 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 ...

This repository contains all the algorithms implementation & problems solution, assignment solution, Interview question solution & other related materials (Slides, Resources) related to Princeton ...

ABSTRACT: The goal of the research is to develop a methodology to minimize the public’s exposure to harmful emissions from coal power plants while maintaining minimal operational costs related to ...

ABSTRACT: The goal of the research is to develop a methodology to minimize the public’s exposure to harmful emissions from coal power plants while maintaining minimal operational costs related to ...

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 ...

Greedy Algorithm to find a minimum spanning tree in an undirected graph by deleting heaviest edges unless it would disconnect the graph ...

Abstract: We can only get a minimum spanning tree from all the spanning trees with the current minimum spanning tree algorithm, So we hope to present a new algorithm to improve it. The new algorithm ...