Conference proceeding
Data analysis: models and alogrithms
Proceedings of SPIE, Vol.4191(1), pp.1-9
Sensors and Controls for Intelligent Manufacturing
02/02/2001
DOI: 10.1117/12.417237
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.
Details
- Title: Subtitle
- Data analysis: models and alogrithms
- Creators
- Andrew Kusiak - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.4191(1), pp.1-9
- Conference
- Sensors and Controls for Intelligent Manufacturing
- DOI
- 10.1117/12.417237
- ISSN
- 0277-786X
- Language
- English
- Date published
- 02/02/2001
- Academic Unit
- Industrial and Systems Engineering; Nursing
- Record Identifier
- 9984186964002771
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