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2019
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Structured Graph Reconstruction for Scalabl Clustering
we propose a method called Orthogonal and Nonnegative Graph Reconstruction (ONGR) for large scale clustering. This is an journal extension of the work published in conference IJCAI-2017.
Junwei Han
,
Kai Xiong
,
Feiping Nie
,
Xuelong Li
Cite
DOI
Regularized and Constrained Self-representation for Robust Feature Selection
Feature selection is an important topic in data mining. In this paper, we focus on the problem in unsupervised scenario, which is …
Kai Xiong
,
Feiping Nie
,
Junwei Han
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Orthogonal and Nonnegative Graph Reconstruction for Large Scale Clustering
We propose a novel clustering approach denoted by orthogonal and nonnegative graph reconstruction (ONGR) that scales linearly with the data size.
Junwei Han
,
Kai Xiong
,
Feiping Nie
Cite
Poster
DOI
Linear Manifold Regularization with Adaptive Graph for Semi-supervised Dimensionality Reduction
We propose a novel approach called linear manifold regularization with adaptive graph (LMRAG) for semi-supervised dimensionality reduction.
Kai Xiong
,
Feiping Nie
,
Junwei Han
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Poster
DOI
Robust and Sparse Fuzzy K-Means Clustering
The partition-based clustering algorithms, like KMeans and fuzzy K-Means, are most widely and successfully used in data mining in the …
Jinglin Xu
,
Junwei Han
,
Kai Xiong
,
Feiping Nie
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