L1 and L2 Approximation Clustering for Mixed Data: Scatter Decompositions and Algorithms
Clustering is considered usually an art rather than a science because of lacking comprehensive mathematical theories in the discipline. The major issue raised in this paper is that L2 and L1 approximation bilinear clustering can provide a theoretical framework for an extensive part of partitioning a...
| Veröffentlicht in: | Lecture Notes-Monograph Series. - Institute of Mathematical Statistics, 1982. - 31(1997) vom: Jan., Seite 473-486 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
1997
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| Zugriff auf das übergeordnete Werk: | Lecture Notes-Monograph Series |
| Schlagworte: | Partitioning Hierarchy Mixed data Approximation Contingency coefficients Mathematics Behavioral sciences Information science Applied sciences Philosophy |
| Online verfügbar |
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