title: A versatile test for clustering and a proximity analysis of neurons.
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.
authors.affiliation: Department of Preventive Medicine, School of Medicine, State University of New York, Stony Brook.
authors.forename: R C
authors.initials: RC
authors.lastname: Grimson
authors.forename: R D
authors.initials: RD
authors.lastname: Rose
mesh_terms: D000818:Animals; D002415:Cats; D002642:Chick Embryo; D016000:Cluster Analysis; D003627:Data Interpretation, Statistical; D005727:Ganglia, Spinal / Q000502:physiology*; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology