Aug 1, 2024 · We propose a novel anchors generation method based on granular-ball computing. We present an ensemble clustering algorithm and it is more efficient than U-SPEC.
Aug 1, 2024 · We propose a novel anchors generation method based on granular-ball computing. We present an ensemble clustering algorithm and it is more efficient than U-SPEC.
Jul 9, 2024 · Manifold learning is essential for analyzing high-dimensional data, but it suffers from high time complexity.
Aug 30, 2024 · This study clusters solar inverters and wind turbines to help Enlitia's clients optimize resource allocation and operational strategies by ...
Title: Granular-ball computing-based manifold clustering algorithms for ultra-scalable data · Authors: Dongdong Cheng, Shushu Liu, Shuyin Xia, Guoyin Wang ...
Jun 7, 2024 · In this paper, we introduce granular-ball into unsupervised manifold learning. Based on the anchor graph generated by granular-ball and spatial ...
Aug 5, 2024 · Granular-ball computing-based manifold clustering algorithms for ultra-scalable data. Expert Syst. Appl. 247: 123313 (2024). [c13]. view.
Granular-ball computing-based manifold clustering algorithms for ultra-scalable data · Dongdong Cheng, Shushu Liu, Shuyin Xia, Guoyin Wang. Published: 31 Dec ...
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Aug 12, 2024 · ... scalable learning method for granular computing. The basis of granular-ball computing is the granular-ball generation method. This paper ...
An Efficient Spectral Clustering Algorithm Based on Granular-Ball · Jiang Xie ... The proposed algorithm constructs a partially observed similarity matrix based ...