The Distance and Cluster Procedure

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Author(s): Sean Eom (Southeast Missouri State University, USA)
Copyright: 2009
Pages: 31
Source title: Author Cocitation Analysis: Quantitative Methods for Mapping the Intellectual Structure of an Academic Discipline
Source Author(s)/Editor(s): Sean B. Eom (Southeast Missouri State University, USA)
DOI: 10.4018/978-1-59904-738-6.ch009

Keywords: Information Science Reference / Library & Information Science / Library Information Systems / Library Science

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Abstract

This chapter describes the distance and cluster procedure of the SAS system. SAS version 9 introduced the proc distance procedure. All previous versions of SAS used two programs (xmacro.sas and distnew.sas) to process a transposed cocitation matrix (input) to produce a distance matrix (output). Cluster analysis is a data reduction technique for grouping various entities (individuals, variables, objects) into clusters so that the entities in the same cluster have more similarity to each other with respect to some predetermined selection criteria. The first section of this chapter explains the creation of a distance matrix, which is the input to the cluster procedure. The second part of this chapter focuses on the PROC CLUSTER statement which sets out the CLUSTER procedure steps. This chapter also includes the discussions of interpreting results of cluster analysis.

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