文件名称:cca
- 所属分类：
- matlab例程
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2014-08-04
- 文件大小：
- 1kb
- 下载次数：
- 1次
- 提 供 者：
- haris*****
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CCA calculate canonical correlations
[Wx Wy r] = cca(X,Y) where Wx and Wy contains the canonical correlation
vectors as columns and r is a vector with corresponding canonical
correlations. The correlations are sorted in descending order. X and Y
are matrices where each column is a sample. Hence, X and Y must have
the same number of columns.
Example: If X is M*K and Y is N*K there are L=MIN(M,N) solutions. Wx is
then M*L, Wy is N*L and r is L*1.-CCA calculate canonical correlations
[Wx Wy r] = cca(X,Y) where Wx and Wy contains the canonical correlation
vectors as columns and r is a vector with corresponding canonical
correlations. The correlations are sorted in descending order. X and Y
are matrices where each column is a sample. Hence, X and Y must have
the same number of columns.
Example: If X is M*K and Y is N*K there are L=MIN(M,N) solutions. Wx is
then M*L, Wy is N*L and r is L*1.
[Wx Wy r] = cca(X,Y) where Wx and Wy contains the canonical correlation
vectors as columns and r is a vector with corresponding canonical
correlations. The correlations are sorted in descending order. X and Y
are matrices where each column is a sample. Hence, X and Y must have
the same number of columns.
Example: If X is M*K and Y is N*K there are L=MIN(M,N) solutions. Wx is
then M*L, Wy is N*L and r is L*1.-CCA calculate canonical correlations
[Wx Wy r] = cca(X,Y) where Wx and Wy contains the canonical correlation
vectors as columns and r is a vector with corresponding canonical
correlations. The correlations are sorted in descending order. X and Y
are matrices where each column is a sample. Hence, X and Y must have
the same number of columns.
Example: If X is M*K and Y is N*K there are L=MIN(M,N) solutions. Wx is
then M*L, Wy is N*L and r is L*1.
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cca.m