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Abstract: Introduction Industrial processes generate a lot of information for operators. The operators have many measurements to observe and control at the same time. This can be helped by combining the knowledge. Clustering (see e.g. [1] and [2]) is one of the methods for combination, because the information is saved in databases and it is available. Industrial processes are usually highly non-linear and it is very difficult or impossible to make accurate models with conventional modeling techniques.... (Update)
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BibTeX entry: (Update)
@misc{ in-informatica,
author = "Clustering Algorithms In",
title = "Informatica 29 (2005) 101--109 101",
url = "citeseer.ist.psu.edu/758135.html" }
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