Distance metric learning for soft subspace clustering in composite kernel space
The composite kernel space is constructed based on a set of basis kernels. The general form of soft subspace clustering in CKS is presented. CKS-EWFC-K and CKS-EWFC-F are proposed under the framework of CKS-SSC. The properties of CKS-EWFC-K and CKS-EWFC-F are investigated. Both CKS-EWFC-K and CKS-EWFC-F are immune to ineffective kernels.
distance metric learning soft subspace clustering composite kernel space fuzzy clustering