A Versatile Test for Clustering and a Proximity Analysis of Neurons

R.C. Grimson; R.D. Rose

doi:10.1055/s-0038-1634843

Methods of Information in Medicine, Table of Contents

Methods Inf Med 1991; 30(04): 299-303
DOI: 10.1055/s-0038-1634843

Original Article

Schattauer GmbH

A Versatile Test for Clustering and a Proximity Analysis of Neurons

R.C. Grimson

¹Department of Preventive Medicine, School of Medicine, State University of New York at Stony Brook, Stony Brook NY

,

R.D. Rose

²Department of Biology, Duquesne University, Pittsburgh PA, U.S.A

› Author Affiliations

Abstract

Abstract:

A test for nonrandom patterns in populations of “cells” of binary attributes is formulated for applications in settings where it is impossible or impractical to completely specify the adjacency matrix, as in circumstances involving enormous numbers of cells and/or censored data. Applications are made to problems concerning spatial distributions of specially labeled cells in nervous system research.

Key-words

Clustering - Contiguities - Cell Adjacency Configurations - Neuron Patterns

Full Text

References

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