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In real application, we often face the difficulties such as handling missing data, noise or outliers, incorporating prior knowledge and integrating multiple algorithms. In this chapter, we introduce several extended algorithms for local multivariate analysis.
Keywords
- Independent Component Analysis
- Blind Source Separation
- External Criterion
- Independent Component Analysis Algorithm
- Extend Algorithm
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). Extended Algorithms for Local Multivariate Analysis. 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_9
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DOI: https://doi.org/10.1007/978-3-540-78737-2_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78736-5
Online ISBN: 978-3-540-78737-2
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