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Clustering Algorithms

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Encyclopedia of Social Network Analysis and Mining

Synonyms

Cluster analysis; Community detection

Glossary

Adjacency Matrix:

Matrix representation of a network. Given a network with N nodes, its adjacency matrix is a matrix N × N where its elements a ij represent the existence and possibly the weight of the edge from a node i to a node j

Cluster:

Groups of data items sharing similar features

Community:

Subset of nodes of a graph, highly mutually interconnected

Complex Network:

A network with nontrivial topological features

Degree:

Given a node i of a graph G, its degree is the number of edges incident to it. If G is directed, the number of edges that leave i is its outdegree, whereas the number of edges that end on it is its indegree

Edge:

Representation of a link or connection between two nodes

Geodesic:

Extension of the concept of shortest path between two points in a curved space

Graph:

Abstract representation of a set of items, where some pairs of items are connected by links. These items are called vertices (or nodes) and their...

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Acknowledgments

M.A. Javarone would like to thank Fondazione Banco di Sardegna for supporting his work.

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Correspondence to Davide Eynard .

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© 2018 Springer Science+Business Media LLC, part of Springer Nature

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Eynard, D., Javarone, M.A., Matteucci, M. (2018). Clustering Algorithms. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-7131-2_138

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