Abstract: Highlights•MVSC-HFD has high adaptability to various dimensions of different views.•Tackle the discrepancy among different views.•Reduce multiple views of different dimensions hierarchically to a common subspace.•Uniformly learn anchors in common subspace and construct bipartite graphs.•Low spatial and time consumption which are linear to data size.
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