Principal Curve Algorithms for Partitioning High-Dimensional Data Spaces - 源码 - 源码 - 免费下载

Principal Curve Algorithms for Partitioning High-Dimensional Data Spaces

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资源说明：Most partitioning algorithms iteratively partition a space into cells that contain underlying linear or nonlinear structures using linear partitioning strategies. The compactness of each cell depends on how well the (locally) linear partitioning strategy approximates the intrinsic structure. To partition a compact structure for complex data in a nonlinear context, this paper proposes a nonlinear partition strategy. This is a principal curve tree (PC-tree), which is implemented iteratively. Given

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