资源列表
[其他小程序] bayes_multiclass
说明:z=bayes_classifier(m,S,P,X). This function outputs the Bayesian classification rule for M classes, each modeled by a Gaussian distribution. where, M: the number of classes. • l: the number of features (for e<mnzars> 在 2025-01-31 上传 | 大小:1kb | 下载:0
[其他小程序] eucledian_classifier
说明:z=euclidean_classifier(m,X). This function outputs the Euclidean classifier, given the mean matrix. M: the number of classes. • l: the number of features (for each feature vector). • N: the number of da<mnzars> 在 2025-01-31 上传 | 大小:1kb | 下载:0
[其他小程序] mahalnobis
说明:z=mahalanobis_classifier(m,S,X).This function outputs the Mahalanobis classifier, given the mean and covariance matrices. • M: the number of classes. • l: the number of features (for each feature vecto<mnzars> 在 2025-01-31 上传 | 大小:1kb | 下载:0
[其他小程序] gezhongchazhi
说明:各种插值算法的比较,拉格朗日、三次样条插值等-Comparison of various interpolation algorithms, Lagrangian, cubic spline interpolation and so on<virgil> 在 2025-01-31 上传 | 大小:1kb | 下载:0