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Common principal components model for symbolic data
Work
Year: 2010
Type: article
Abstract: This paper proposes a dimension reduction technique in the framework of symbolic data analysis (SDA). Recent advances in technology have increased the complexity of datasets, and today, their size is ... more
Source: Journal of the Japanese Society of Computational Statistics
Authors Kotoe Katayama, Hiroyuki Minami, Masahiro Mizuta
Institutions Tokyo University of Science, Hokkaido Information University, Hokkaido University
Cites: 4
Cited by:
Related to: 10
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Citation percentile (by year/subfield):
Topic: Neural Networks and Applications
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze