62H30 Classification and discrimination; cluster analysis [See also 68T10]
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Erscheinungsjahr
- 1999 (1) (entfernen)
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- Englisch (1)
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- Self-Organizing Maps (1)
- cluster analysis (1)
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- ZIB Allgemein (1) (entfernen)
One of the important tasks in Data Mining is automated cluster analysis. Self-Organizing Maps (SOMs) introduced by {\sc Kohonen} are, in principle, a powerful tool for this task. Up to now, however, its cluster identification part is still open to personal bias. The present paper suggests a new approach towards automated cluster identification based on a combination of SOMs with an eigenmode analysis that has recently been developed by {\sc Deuflhard et al.} in the context of molecular conformational dynamics. Details of the algorithm are worked out. Numerical examples from Data Mining and Molecular Dynamics are included.