图书馆订阅: Guest
自动化与信息科学期刊

每年出版 12 

ISSN 打印: 1064-2315

ISSN 在线: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

Indexed in

The Research of the Asymptotic Properties of Nonparametric Classifiers Based on Depth Functions

卷 47, 册 8, 2015, pp. 1-10
DOI: 10.1615/JAutomatInfScien.v47.i8.10
Get accessGet access

摘要

Nonparametric classification methods are investigated as well as their asymptotic properties based on the use of half-space and regression depth functions that are used to build linear and nonlinear separating surfaces between competing sets of data. A fully distribution free approach is proposed, where distributive location of multidimensional data is used to minimize misclassification coefficients.

Begell Digital Portal Begell 数字图书馆 电子图书 期刊 参考文献及会议录 研究收集 订购及政策 Begell House 联系我们 Language English 中文 Русский Português German French Spain