M
Michael K. Ng
Researcher at University of Hong Kong
Publications - 658
Citations - 24376
Michael K. Ng is an academic researcher from University of Hong Kong. The author has contributed to research in topics: Cluster analysis & Computer science. The author has an hindex of 72, co-authored 608 publications receiving 20492 citations. Previous affiliations of Michael K. Ng include The Chinese University of Hong Kong & Vanderbilt University.
Papers
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Categorical data clustering with automatic selection of cluster number
Haiyong Liao,Michael K. Ng +1 more
TL;DR: A new categorical data clustering algorithm with automatic selection of k is proposed, which extends the k-modes clustering algorithms by introducing a penalty term to the objective function to make more clusters compete for objects.
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Multiscale Feature Tensor Train Rank Minimization for Multidimensional Image Recovery.
TL;DR: Zhang et al. as mentioned in this paper proposed a novel multiscale feature tensorization by exploiting the MSFs of multidimensional images, which not only helps to recover the missing values on a higher level, but also benefits subsequent image applications.
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On the Convergence of Nonconvex Minimization Methods for Image Recovery
TL;DR: The main contribution of this paper is to show the convergence of these alternating minimization schemes, based on the Kurdyka-Lojasiewicz property, to show that the iterates generated by the alternating minimizations scheme, converges to a critical point of this nonconvex nonsmooth objective function.
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Multi-label collective classification via Markov chain based learning method
TL;DR: The proposed algorithm is shown to be better than those of the binary relevance multi-label algorithm, collective classification algorithms (wvRN, ICA and Gibbs), and the ICML algorithm for the tested MLCC problems.
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Orthogonal Nonnegative Matrix Factorization by Sparsity and Nuclear Norm Optimization
Junjun Pan,Michael K. Ng +1 more
TL;DR: It is demonstrated the coefficient matrix can be sparse and low-rank in the orthogonal nonnegative matrix factorization.