Description Usage Arguments Value References
To perform Optimal Discriminant Clustering
1 |
x |
A numberic dataset matrix. |
centers |
An integer scalar with the desired number of groups. |
cv.num |
The numbers of cross validation iteration for selecting tuning parameter lambda2. |
l2 |
L2 penalty parameter, if l2=-1, then odc.clust choose the optimal lambda2 automatically given lambda2.idx. Otherwise perfoms ODC clustering using given lambda2. |
clus |
The clustering method applied on ODC component. |
l2.idx |
A sequence of index numbers from which one can get a sequence of lambda2 values by calculating 10^l2.idx. |
res |
An object of class "kmeans" or other class depending on the value of argument "clus". |
opt.lambda2 |
The optimal lambda2 selected when setting argument l2=-1. This value Will not be returned if setting l2!= -1. |
Zhang, Z. and Dai, G. (2009). Optimal scoring for unsupervised learning, Advances in Neural Information Processing Systems 23 12: 2241-2249.
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