Classification Rules for Heterogeneous Incomplete Multivariate Normal Populations Through Eigenvalue Decomposition
碩士 === 國立中興大學 === 應用數學系所 === 101 === We study the problem of classification under fourteen eigen-decomposed covariance structures for the supervised learning of heterogeneous multivariate data with possible missing values. The new classification rules are built under assumption of multivariate norma...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2013
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/69959568166140625519 |