Automatic classification of functional data with extremal information

被引:0
|
作者
Laurini, Fabrizio [1 ]
Cerioli, Andrea [1 ]
机构
[1] Univ Parma, Dipartimento Econ Sez & Stat, I-43100 Parma, Italy
来源
关键词
D O I
10.1007/978-3-540-70981-7_12
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper we develop statistical techniques for clustering smooth functional data based on their extremal features. Smooth functional data arise in many application fields. Our work is motivated by a problem in quality control monitoring of water supplied for human consumption, where both the level and the shape of each function are important for classification purposes.
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页码:99 / +
页数:2
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