Data analysis: models and alogrithms
Andrew Kusiak · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2001
Data analysis has many facets, ranging from statistics to engineering. In this paper basic models and algorithms for data analysis are discussed. Novel uses of cluster analysis, precedence analysis, and data mining methods are emphasized. The software for the cluster analysis algorithm and the triangularization is presented.