Multi-Task Multi-View Clustering

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A Survey on Multi-Task Learning (2017, background): “Different from [143], [144] which study the multi-task multi-view classification problem, in [145], [146], two multi-task multi-view clustering methods are proposed and both methods consider three factors: within-view-task clustering which conducts clustering on each view in a task, view relation le”
A Survey on Multi-View Clustering (2017, unknown): “ with ensemble clustering can implement multi-view clustering. In addition, multi-task clustering and multi-view clustering can be conducted simultaneously to improve the clustering performance [37], [50]. Different from multi-view clustering, multi-view supervised learning [3] uses the labeled data”