| タイトル | Multivariate spline methods in surface fitting |
| 著者（英） | Guseman, L. F., Jr.; Schumaker, L. L. |
| 著者所属（英） | Texas A&M Univ. |
| 発行日 | 1984-01-01 |
| 言語 | eng |
| 内容記述 | The use of spline functions in the development of classification algorithms is examined. In particular, a method is formulated for producing spline approximations to bivariate density functions where the density function is decribed by a histogram of measurements. The resulting approximations are then incorporated into a Bayesiaan classification procedure for which the Bayes decision regions and the probability of misclassification is readily computed. Some preliminary numerical results are presented to illustrate the method. |
| NASA分類 | NUMERICAL ANALYSIS |
| レポートNO | 85N16257 |
| 権利 | No Copyright |
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