The Construction of Hierarchic and Non-Hierarchic Classifications | Zendy

N. Jardine | Zendy; Robin Sibson | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

The Construction of Hierarchic and Non-Hierarchic Classifications

Author(s) -

N. Jardine,

Robin Sibson

Publication year - 1968

Publication title -

the computer journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.319

H-Index - 64

eISSN - 1460-2067

pISSN - 0010-4620

DOI - 10.1093/comjnl/11.2.177

Subject(s) - computer science , sequence (biology) , cluster (spacecraft) , simple (philosophy) , set (abstract data type) , data mining , theoretical computer science , programming language , chemistry , biochemistry , philosophy , epistemology

Many of the cluster methods that are used in the construction of classificatory systems operate on data in the form of a dissimilarity coefficient on a set of objects. In this paper we outline a theoretical framework within which the properties of such methods may be discussed. Certain conditions that a cluster method should satisfy are suggested, and a particular sequence of cluster methods which satisfies these conditions is described. The application of the sequence of methods is illustrated by a simple example.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research