Dec 1, 2021 · In this paper, we proposed an efficient graph clustering algorithm, KCoreMotif, specifically for large networks by exploiting k -core decomposition and motifs.

In order to deepen the understanding of particular concepts, including both quality assessment as well as designing new algorithms, we conducted an experimental evaluation of graph-clustering approaches. By combin-ing proved techniques from graph partitioning and geometric clustering, we also introduce a new approach that compares favorably.

Jun 12, 2008 · In order to deepen the understanding of particular concepts, including both quality assessment as well as designing new algorithms, we conducted an experimental evaluation of graph-clustering approaches.

Recent work on graph-based clustering algorithms, provide novel ap- proaches in the field of clustering. This paper gives a comparison of these graph-based algorithms and shows their benefits over classical approaches, as well as requirements for further optimization.

In this paper, a graph theory-based clustering approach is presented for large interconnected power system networks. The algorithm is tested on multiple power system networks from small to large scale and the performance is analyzed.

Recent work on graph-based clustering algorithms[9], [10] provide novel ap-proaches in the field of clustering. This paper gives a comparison of these graph-based algorithms and shows their benefits over classical approaches, as well as requirements for further optimization.

6 days ago · Effectiveness it is effective in the sense that on the one hand it provides inspiration for new clustering algorithms (the BEC method is the first clustering algorithm based on \(\mathscr {F}_s ...

we propose an accelerated spectral clustering method that has the collateral advantage of defining a stability measure to es-timate the number of clusters k. In Section 2, we recall graph signal processing notations and tools used in the paper, as well as the classical spectral clustering algorithm. In Section 3, we prove that one can fil-

Sep 28, 2017 · (1) Can we design fast algorithms for general graph problems? (2) Why are some graph problems easy and others hard? •Mathematician’s Perspective (3) Graph structure/geometry Shortest path, minimum cut, largest clique, clustering, … vs.

Mar 15, 2023 · In this article, an Eigen-trick-based stable clustering algorithm (EtHgSC) in VANET has been introduced with the goal of increasing clustering stability by employing efficient cluster formation and cluster head selection methods.