• Title/Summary/Keyword: 다양체정칙성

Search Result 1, Processing Time 0.013 seconds

Semi-supervised classification with LS-SVM formulation (최소제곱 서포터벡터기계 형태의 준지도분류)

  • Seok, Kyung-Ha
    • Journal of the Korean Data and Information Science Society
    • /
    • v.21 no.3
    • /
    • pp.461-470
    • /
    • 2010
  • Semi supervised classification which is a method using labeled and unlabeled data has considerable attention in recent years. Among various methods the graph based manifold regularization is proved to be an attractive method. Least squares support vector machine is gaining a lot of popularities in analyzing nonlinear data. We propose a semi supervised classification algorithm using the least squares support vector machines. The proposed algorithm is based on the manifold regularization. In this paper we show that the proposed method can use unlabeled data efficiently.