ABSTRACT
Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 301 19.4 Analysis of Performance Indicators Using Multiple Factor
Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 307 19.4.1 Data Structure and Notations . . . . . . . . . . . . . . . . . . . . . . . . . . . 307 19.4.2 Construction of a Performance Score Using Multiple
Factor Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 309 19.5 Biclustering of the Performance Matrix . . . . . . . . . . . . . . . . . . . . . . . . . 311 19.6 Discussion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 315
Modern evaluation of basketball teams involves the use of performance indicators such as percentage of successful field goals, percentage of successful free-throws, number of assists, offensive and defensive rebounds, blocks and steals, etc (Oliver, 2004; Gomez et al., 2009; Lorenzo et al., 2010; Csataljay et al., 2012). These performance indicators are routinely collected and electronically available. In this chapter we use biclustering methods in order to detect local patterns among the performance indicators reported by the National Basketball Association (NBA).
