Applying two-stage SOM-based clustering approaches to industrial data analysis-Reference-Cited by-同舟云学术

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Applying two-stage SOM-based clustering approaches to industrial data analysis

Published:2005-12 Issue:8 Volume:16 Page:774-784
ISSN:0953-7287
Container-title:Production Planning & Control
language:en
Short-container-title:Production Planning & Control

Author:

Canetta * L.¹²,Cheikhrouhou N.¹²,Glardon R.¹²

Affiliation:

1. a Ecole Polytechnique Fédérale de Lausanne (EPFL) , Laboratory for Production Management and Processes , Lausanne, CH-1015, Switzerland

2. b Ecole Polytechnique Fédérale de Lausanne (EPFL) , Laboratory for Production Management and Processes , Lausanne, CH-1015, Switzerland E-mail:

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/09537280500180949

Reference28 articles.

1. Comparative performance of the FSCL neural net and K-means algorithm for market segmentation

2. Some new indexes of cluster validity

3. Data clustering analysis in a multidimensional space

4. Production flow analysis

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