Abstract: Highlights•A joint clustering and feature extraction model named CDOTD is proposed.•It ensures both favorable clustering performance and high running efficiency.•It improves the ability to address many cluster data clustering cases.•Extensive experiments have demonstrated the success of CDCTD.
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