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In this chapter, we describe the close relationship between enhanced clustering algorithms and local multivariate analysis. The objective functions are defined based on the standard fuzzification approach. However, it is easy to define similar objective functions based on other fuzzification approaches and the most parts of the discussions given in this chapter also apply to them.
Keywords
- Linear Regression Model
- Fuzzy Cluster
- Membership Degree
- Principal Component Analysis Model
- Fuzzy Partitioning
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 2008 Springer-Verlag Berlin Heidelberg
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Miyamoto, S., Ichihashi, H., Honda, K. (2008). Local Multivariate Analysis Based on Fuzzy Clustering. In: Algorithms for Fuzzy Clustering. Studies in Fuzziness and Soft Computing, vol 229. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78737-2_8
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DOI: https://doi.org/10.1007/978-3-540-78737-2_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78736-5
Online ISBN: 978-3-540-78737-2
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