title: Vector dissimilarity and clustering.
abstract: Based on the description of objects by m attributes, an m-element vector dissimilarity function is defined that, unlike scalar functions, retains the distinction among attributes. This function, which satisfies the conditions for a metric, allows the definition of betweenness, which can then be used for clustering. Applications to the subset-generation phase of conditional clustering and to nearest-neighbor-type algorithms are described.
authors.affiliation: Research Branch, Agriculture Canada, Ottawa, Ontario.
authors.forename: L P
authors.initials: LP
authors.lastname: Lefkovitch
mesh_terms: D002965:Classification; D004463:Ecology; D008433:Mathematics; D008954:Models, Biological