MULTI-VIEW CLUSTERING METHOD AND SYSTEM BASED ON MATRIX DECOMPOSITION AND MULTI-PARTITION ALIGNMENT

摘要

A multi-view clustering method and system based on matrix decomposition and multi-partition alignment are provided. The multi-view clustering method based on matrix decomposition and multi-partition alignment includes: S1: acquiring a clustering task and a target data sample; S2: decomposing multi-view data corresponding to the acquired clustering task and the acquired target data sample through a multi-layer matrix to obtain a basic partition matrix of each view; S3: fusing and aligning the obtained basic partition matrix of each view by using column transformation to obtain a consistent fused partition matrix; S4: unifying the obtained basic partition matrix of each view and the consistent fused partition matrix, and constructing an objective function corresponding to the unified partition matrix; S5: optimizing the constructed objective function to obtain an optimized unified partition matrix; and S6: performing spectral clustering on the obtained optimized unified partition matrix to obtain a final clustering result.