Multi-view clustering machine learning method with missing kernel
A machine learning, multi-view technology, applied in the field of computer vision and pattern recognition, can solve problems such as reducing clustering performance, and achieve good clustering effect.
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[0047] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.
[0048] 1. Kernel k-means clustering
[0049] Represents a collection of n samples, Represents a feature map that maps x to a regenerated kernel Hilbert space The objective function of kernel k-means clustering is to minimize the cluster assignment matrix Z ∈ {0,1} n×k The sum of squared errors can be expressed as the following optimization problem:
[0050]
[0051] in, and denote the size and center of the cth cluster, respectively.
[0052] The optimization problem described by equation (1) can be written in the following matrix-vector form:
[0053]
[0054] Amon...
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