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Clustering with Local Density Peaks-Based Minimum Spanning Tree

IEEE Transactions on Knowledge and Data Engineering, 2021
Clustering analysis has been widely used in statistics, machine learning, pattern recognition, image processing, and so on. It is a great challenge for most existing clustering algorithms to discover clusters with arbitrary shapes.
Dong-Dong Cheng   +4 more
semanticscholar   +1 more source

The generalized minimum spanning tree problem: An overview of formulations, solution procedures and latest advances

European Journal of Operational Research, 2020
In this paper, some of the main known results relative to the generalized minimum spanning tree problem are surveyed. The principal feature of this problem is related to the fact that the vertices of the graph are partitioned into a certain number of ...
P. Pop
semanticscholar   +1 more source

Spanning Tree

, 2020
Bruno Soido Falcão von Sohsten
semanticscholar   +1 more source

Independent Spanning Trees in Networks: A Survey

ACM Computing Surveys, 2023
Baolei Cheng, Jianxi Fan, Dajin Wang
exaly  

A two-level solution approach for solving the generalized minimum spanning tree problem

European Journal of Operational Research, 2018
P. Pop, O. Matei, C. Sabo, A. Petrovan
semanticscholar   +1 more source

Real-Time Salient Object Detection with a Minimum Spanning Tree

Computer Vision and Pattern Recognition, 2016
Wei-Chih Tu   +3 more
semanticscholar   +1 more source

Tree mortality from an exceptional drought spanning mesic to semiarid ecoregions.

Ecological Applications, 2016
G. Moore   +5 more
semanticscholar   +1 more source

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