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对线性回归模型生成的对象进行聚类AI 解读

This article describes a new clustering method designed for objects generated by a linear model with different states. The objective is to divide the objects into clusters, with each cluster containing only the objects taken when the system is in one particular state. The cluster centroids are matrices of predetermined rank and can be computed by the singular value decomposition (SVD) algorithm. The clustering problem is formulated as a combinatorial optimization problem.…

线性回归模型生成对象的聚类AI 解读

This article describes a new clustering method designed for objects generated by a linear model with different states. The objective is to divide the objects into clusters, with each cluster containing only the objects taken when the system is in one particular state. The cluster centroids are matrices of predetermined rank and can be computed by the singular value decomposition (SVD) algorithm. The clustering problem is formulated as a combinatorial optimization problem.…