In graph theory, a minimum cut or min-cut of a graph is a cut (a partition of the vertices of a graph into two disjoint subsets) that is minimal in some metric.
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What does it mean that a set of nodes are well interconnected? • min-cut: the min number of edges such that when removed cause the graph to become disconnected.
In this paper, we present a new clustering algorithm that is based on maximum flow techniques, and in particular minimum cut trees. Maximum flow algorithms are ...
In this paper we analyze the minimum cuts produced, calculate the quality of the clusters produced in terms of expansion-like criteria, generalize the cluster- ...
Jan 11, 2021 · The proposed iterative min cut clustering uses only one formula to map a nonlinearly separable dataset to a linearly separable one-dimensional ...
Fast adaptively balanced min-cut clustering - ScienceDirect.com
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Sep 23, 2024 · Min-cut clustering is a typical graph clustering method, which has been extensively applied for pattern recognition, data analysis and image ...
Oct 6, 2011 · The problem I'm struggling with is to determine whether a particular minimum st cut in a graph G = (V, E) is unique.
Nov 28, 2016 · Today, we introduce the minimum cut problem. This problem has many motivations, one of which comes from image segmentation.
Min-Cut of a weighted graph is defined as the minimum sum of weights of (at least one)edges that when removed from the graph divides the graph into two groups. ...
The min-max cut algorithm is tested on newsgroup data sets and is found to out-perform other current popular partitioning/clustering methods. The linkage-based ...