Flexible Auto-weighted Local-coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering

IEEE Transactions on Knowledge and Data Engineering, pp. 1-1, 2019.

Cited by: 12|Bibtex|Views79|DOI:https://doi.org/10.1109/tkde.2019.2940576
Other Links: academic.microsoft.com|arxiv.org

Abstract:

Concept Factorization (CF) and its variants may produce inaccurate representation and clustering results due to the sensitivity to noise, hard constraint on the reconstruction error and pre-obtained approximate similarities. To improve the representation ability, a novel unsupervised Robust Flexible Auto-weighted Local-coordinate Concep...More

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