Results 31 to 40 of about 35,371 (162)
Minimum Spanning Tree for the Implementation of Kruskal’s Algorithm
Kruskal’s algorithm is an algorithm used to find a minimum spanning tree in graph connectivity which gives an option to keep processing the edge limit with the least weight.
Paryati Paryati, Ahmad Subhan Yazid
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Pruning a minimum spanning tree [PDF]
This work employs some techniques in order to filter random noise from the information provided by minimum spanning trees obtained from the correlation matrices of international stock market indices prior to and during times of crisis. The first technique establishes a threshold above which connections are considered affected by noise, based on the ...
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The Budgeted Labeled Minimum Spanning Tree Problem
In order to reduce complexity when designing multi-media communication networks, researchers often consider spanning tree problems defined on edge-labeled graphs.
Raffaele Cerulli +3 more
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Object Tracking Using Sparsity Based Discriminative Minimum-Spanning-Tree
An object tracking method based on a minimum-spanning-tree one-class classifier is proposed where the background is regarded as a collection of all other classes except the target.
Xin Man, Dun Mao, Xiaohong Lin, Fei Xia
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Polynomial Time Approximation Schemes for the Constrained Minimum Spanning Tree Problem
Let G=(V,E) be an undirected graph with a weight function and a cost function on edges. The constrained minimum spanning tree problem is to find a minimum cost spanning tree T in G such that the total weight in T is at most a given bound B. In this paper,
Yen Hung Chen
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Planar bichromatic minimum spanning trees
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Borgelt, M.G. +6 more
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Reliable Route Selection for Wireless Sensor Networks with Connection Failure Uncertainties
For wireless sensor networks (WSN) with connection failure uncertainties, traditional minimum spanning trees are no longer a feasible option for selecting routes.
Jianhua Lyu +3 more
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We present an overview of the approximation theory in combinatorial optimization. As an application we consider the Generalized Minimum Spanning Tree (GMST) problem which is defined on an undirected complete graph with the nodes partitioned into ...
Petrică C. Pop, G. Still, W. Kern
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Single-Valued Neutrosophic Minimum Spanning Tree and Its Clustering Method
Clustering plays an important role in data mining, pattern recognition, and machine learning. Then, single-valued neutrosophic sets (SVNSs) are a useful means to describe and handle indeterminate and inconsistent information, which fuzzy sets and ...
Ye Jun
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Evaluating the Minimum Spanning Trees Using Prim's Algorithm with Undirected Neutrosophic Graphs [PDF]
This research paper presents an innovative approach for determining the minimum spanning tree (MST) in an undirected neutrosophic graph using Prim's Algorithm, which is extensively used in addressing network optimization problems.
Sukanta Ghadei +4 more
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