Abstract
Cluster analysis attempts to detect structures in the data. Often clustering methods are incorporated into statistical software systems. Some of the most important and widely used methods are the K-means clustering and Ward’s hierarchical algorithm. But there is a lack of known successful applications.
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© 1993 Springer-Verlag Berlin Heidelberg
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Mucha, HJ. (1993). Some Adaptive Clustering Algorithms. In: Karmann, A., Mosler, K., Schader, M., Uebe, G. (eds) Operations Research ’92. Physica, Heidelberg. https://doi.org/10.1007/978-3-662-12629-5_8
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DOI: https://doi.org/10.1007/978-3-662-12629-5_8
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-0679-3
Online ISBN: 978-3-662-12629-5
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