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In this paper, we propose a novel unsupervised DR algorithm, called structure-aware preserving projections (SAPP) that find more discriminative projections.
Oct 23, 2024 · Our algorithm exploits a powerful combination of subspace clustering and nearest neighbor graph construction to effectively capture the local structure of the ...
Oct 6, 2023 · Specifically, SAPP combines subspace clustering and nearest neighbor graph construction to capture the local structure. Least squares regression ...
Jul 17, 2024 · To address this issue, we propose a novel unsupervised DR algorithm, called Structure-Aware Preserving Projections (SAPP). Specifically, SAPP ...
To address this issue, we propose a new unsupervised feature extraction algorithm called structure-aware preserving projections (SAPP), which aims to construct ...
Jun 1, 2024 · To address this issue, we propose a novel unsupervised DR algorithm, called Structure-Aware Preserving Projections (SAPP). Specifically, SAPP ...
Structure-aware preserving projections with applications to medical image clustering. April 2024; Applied Soft Computing 158(2):111576. DOI:10.1016/j.asoc ...
Abstract This paper proposes a clustered model reduction method for semistable positive linear systems evolving over directed networks. In this method, we ...
The matlab implementation of "Structure-aware Preserving Projections with Applications to Medical Image Clustering" is presented in this capsule, ...
Title: Structure-aware preserving projections with applications to medical image clustering. Authors: Keyang Yu, Yike Zhu, Xuesong Yin, Ting Shu, Yigang ...