1 code implementation • 7 Jun 2022 • Tingting Shen, Junhang Li, Can Tong, Qiang He, Chen Li, YuDong Yao, Yueyang Teng
Nonnegative matrix factorization (NMF) has been widely used to dimensionality reduction in machine learning.
1 code implementation • 18 Apr 2022 • Junhang Li, Jiao Wei, Can Tong, Tingting Shen, Yuchen Liu, Chen Li, Shouliang Qi, YuDong Yao, Yueyang Teng
Traditional nonnegative matrix factorization (NMF) learns a new feature representation on the whole data space, which means treating all features equally.
1 code implementation • 27 Nov 2021 • Jiao Wei, Can Tong, Bingxue Wu, Qiang He, Shouliang Qi, YuDong Yao, Yueyang Teng
Nonnegative matrix factorization (NMF) has been widely used to learn low-dimensional representations of data.