Data analysis: models and alogrithms

Andrew Kusiak

doi:10.1117/12.417237

2 February 2001 Data analysis: models and alogrithms

Andrew Kusiak

Proceedings Volume 4191, Sensors and Controls for Intelligent Manufacturing; (2001) https://doi.org/10.1117/12.417237
Event: Intelligent Systems and Smart Manufacturing, 2000, Boston, MA, United States

Abstract

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.

Citation Download Citation

Andrew Kusiak "Data analysis: models and alogrithms", Proc. SPIE 4191, Sensors and Controls for Intelligent Manufacturing, (2 February 2001); https://doi.org/10.1117/12.417237

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