The Cluster Ensemble

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The generic population that is the subject of our study consists of M indistinguishable members assembled into N groups, or clusters, such that no group is empty. The “member” is the fundamental unit of the population and plays the same role as “monomer” in a polymeric system, or “primary particle” in granular materials. The cluster is characterized by the number of members it contains. We will refer to the number of members in the cluster as the size or mass of the cluster and will use the terms interchangeably. The goal in this chapter is to define a sample space of distributions of clusters and assign a probability measure over it. This probability space of distributions will be called cluster ensemble and forms the basis for the development of generalized thermodynamics. In Chap. 7 we will reformulate the theory on the basis of a more abstract space of distributions.

Original languageEnglish (US)
Title of host publicationUnderstanding Complex Systems
PublisherSpringer Verlag
Pages23-64
Number of pages42
DOIs
StatePublished - Jan 1 2018

Publication series

NameUnderstanding Complex Systems
ISSN (Print)1860-0832
ISSN (Electronic)1860-0840

Fingerprint

Granular materials
Particles (particulate matter)
Monomers
Thermodynamics

All Science Journal Classification (ASJC) codes

  • Software
  • Computational Mechanics
  • Artificial Intelligence

Cite this

Matsoukas, T. (2018). The Cluster Ensemble. In Understanding Complex Systems (pp. 23-64). (Understanding Complex Systems). Springer Verlag. https://doi.org/10.1007/978-3-030-04149-6_2
Matsoukas, Themis. / The Cluster Ensemble. Understanding Complex Systems. Springer Verlag, 2018. pp. 23-64 (Understanding Complex Systems).
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Matsoukas, T 2018, The Cluster Ensemble. in Understanding Complex Systems. Understanding Complex Systems, Springer Verlag, pp. 23-64. https://doi.org/10.1007/978-3-030-04149-6_2

The Cluster Ensemble. / Matsoukas, Themis.

Understanding Complex Systems. Springer Verlag, 2018. p. 23-64 (Understanding Complex Systems).

Research output: Chapter in Book/Report/Conference proceedingChapter

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Matsoukas T. The Cluster Ensemble. In Understanding Complex Systems. Springer Verlag. 2018. p. 23-64. (Understanding Complex Systems). https://doi.org/10.1007/978-3-030-04149-6_2