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.
Value
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.
References
Zhang, Z. and Dai, G. (2009). Optimal scoring for unsupervised learning, Advances in Neural Information Processing Systems 23 12: 2241-2249.