An Efficient and Versatile Variational Method for High-Dimensional Data Classification
Xiaohao Cai,
Raymond H. Chan,
Xiaoyu Xie
et al.
Abstract:High-dimensional data classification is a fundamental task in machine learning and imaging science. In this paper, we propose an efficient and versatile multi-class semi-supervised classification method for classifying high-dimensional data and unstructured point clouds. To begin with, a warm initialization is generated by using a fuzzy classification method such as the standard support vector machine or random labeling. Then an unconstraint convex variational model is proposed to purify and smooth the initial… Show more
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