A Bipartite Graph Partition-Based Coclustering Approach With Graph Nonnegative Matrix Factorization for Large Hyperspectral Images
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3097358
Abstract: Clustering large hyperspectral images (HSIs) is a very challenging problem because large HSIs have high dimensionality, large spectral variability, and large computational and memory consumption. Recently, sparse subspace clustering (SSC) has achieved remarkable success in… read more here.
Keywords: matrix; graph partition; graph; hsis ... See more keywords
Medical Intelligent System and Orthopedic Clinical Nursing Based on Graph Partition Sampling Algorithm
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/2764157
Abstract: This study summarizes the process of graph partition sampling algorithm. Through studying, observing, and comparing many different types of graph partition sampling algorithms, this study represents the learning process sampling into three steps: sampling process,… read more here.
Keywords: system; nursing; orthopedic clinical; graph partition ... See more keywords
Invariant Graph Partition Comparison Measures
Sign Up to like & getrecommendations! Published in 2018 at "Symmetry"
DOI: 10.3390/sym10100504
Abstract: Symmetric graphs have non-trivial automorphism groups. This article starts with the proof that all partition comparison measures we have found in the literature fail on symmetric graphs, because they are not invariant with regard to… read more here.
Keywords: invariant graph; partition comparison; graph partition; partition ... See more keywords