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[ACM Press the 12th ACM SIGKDD international conference - Philadelphia, PA, USA (2006.08.20-2006.08.23)] Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '06 - A component-based framework for knowledge discovery in bioinformatics

✍ Scribed by Etienne, Julien; Wachmann, Bernd; Zhang, Lei

Book ID
121684895
Publisher
ACM Press
Year
2006
Weight
971 KB
Category
Article
ISBN-13
9781595933393

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[ACM Press the 12th ACM SIGKDD internati
[ACM Press the 12th ACM SIGKDD international conference - Philadelphia, PA, USA (2006.08.20-2006.08.23)] Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '06 - Supervised probabilistic principal component analysis
✍ Yu, Shipeng; Yu, Kai; Tresp, Volker; Kriegel, Hans-Peter; Wu, Mingrui πŸ“‚ Article πŸ“… 2006 πŸ› ACM Press βš– 891 KB

Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When labels of data are available, e.g., in a classification or regression task, PCA is however not able to use this information. T