Assessment of class separation for partial-least squares discriminant
analysis or principal component analysis using Hotelling's T2.
Input
data: N x M matrix with N samples and M variables
classVec: N x 1 vector with numeric class labels
Reference
A. M. Goodpaster, M. A. Kennedy, Chemom. Intell. Lab. Syst. 109, 162–170 (2011).
引用格式
Joris Meurs (2024). cluster_distance (https://www.mathworks.com/matlabcentral/fileexchange/87247-cluster_distance), MATLAB Central File Exchange. 检索来源 .
MATLAB 版本兼容性
创建方式
R2020b
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