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Journal ArticleDOI

On the History of the Minimum Spanning Tree Problem

Ron Graham, +1 more
- 01 Jan 1985 - 
- Vol. 7, Iss: 1, pp 43-57
TLDR
There are several apparently independent sources and algorithmic solutions of the minimum spanning tree problem and their motivations, and they have appeared in Czechoslovakia, France, and Poland, going back to the beginning of this century.
Abstract
It is standard practice among authors discussing the minimum spanning tree problem to refer to the work of Kruskal(1956) and Prim (1957) as the sources of the problem and its first efficient solutions, despite the citation by both of Boruvka (1926) as a predecessor. In fact, there are several apparently independent sources and algorithmic solutions of the problem. They have appeared in Czechoslovakia, France, and Poland, going back to the beginning of this century. We shall explore and compare these works and their motivations, and relate them to the most recent advances on the minimum spanning tree problem.

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Citations
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Two linear time algorithms for MST on minor closed graph classes

Martin Mareš
TL;DR: In this article, two simple deterministic algorithms for finding the minimum spanning tree in O(V |+ |E|) time for any non-trivial class of graphs closed on graph minors are presented.
Journal ArticleDOI

Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning

TL;DR: This paper proposes a novel evolutionary ensemble-based method for multi-class imbalanced learning called the evolutionary inversion of class distribution in overlapping areas formulti-classImbalanced learning (EVINCI), which uses a multiobjective evolutionary algorithm to evolve a set of samples taken from an imbalanced dataset.
Journal ArticleDOI

A robust filter in stock networks analysis

TL;DR: In this paper, the authors show that the use of a minimal spanning tree (MST) to filter important information in a complex system is not robust except when the system contains a unique MST.
Journal ArticleDOI

Toward deterministic and semiautomated SPADE analysis

TL;DR: Improvements of SPADE are presented, leading to a deterministic SPADE algorithm and a software implementation for semiautomated interpretation, which assists with the interpretation of the cellular heterogeneity underlying the data.
References
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Journal ArticleDOI

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TL;DR: A useful correspondence is developed between any hierarchical system of such clusters, and a particular type of distance measure, that gives rise to two methods of clustering that are computationally rapid and invariant under monotonic transformations of the data.
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Shortest connection networks and some generalizations

TL;DR: In this paper, the basic problem of interconnecting a given set of terminals with a shortest possible network of direct links is considered, and a set of simple and practical procedures are given for solving this problem both graphically and computationally.
Book

Principles of numerical taxonomy

TL;DR: The authors continued the story of psychology with added research and enhanced content from the most dynamic areas of the field, such as cognition, gender and diversity studies, neuroscience and more, while at the same time using the most effective teaching approaches and learning tools.