Abstract: Gaussian process latent variable model （GPLVM） is a popular manifold method recently proposed for dimensional reduction. However it cannot keep some class structure of datasets for it is an unsupervised learning method. A weighted GPLVM algorithm will be

Key words: Gaussian process latent variable model, Factor analysis, Probabilistic principal component analysis, Local Fisher discriminant analysis