Data, compression by geometric quantization

被引：6
|
作者：
Khumbah, NA [1 ]
Wegman, EJ [1 ]
机构：
[1] N Georgia Coll & State Univ, Dept Math & Comp Sci, Newton Oakes Ctr 212, Dahlonega, GA 30597 USA
来源：
RECENT ADVANCES AND TRENDS IN NONPARAMETRIC STATISTICS | 2003年
关键词：
D O I：
10.1016/B978-044451378-6/50003-X
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
In this paper, we propose a nonparametric method for data quantization so as to reduce massive data sets to more manageable sizes. We, investigate the probabilistic foundation and demonstrate statistical results for the quantization process. We discuss optimal geometric quantization procedures and discuss the computational and storage complexity of these procedures.
引用
收藏
页码：35 / 46
页数：12
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