Results 61 to 70 of about 146,643 (141)

Building clustering method that integrates graph attention networks and spectral clustering

open access: yesGeocarto International
Clustering is an unsupervised learning method; however, it cannot be directly applied to complex building features to reveal the deep-level intrinsic relationships between buildings and assimilate the cartographic experience of experts.
Guoqing Chen, Haizhong Qian
doaj   +1 more source

Memetic Graph Clustering

open access: yes, 2018
It is common knowledge that there is no single best strategy for graph clustering, which justifies a plethora of existing approaches. In this paper, we present a general memetic algorithm, VieClus, to tackle the graph clustering problem. This algorithm can be adapted to optimize different objective functions.
Biedermann, Sonja   +3 more
openaire   +5 more sources

Diverse representation-guided graph learning for multi-view metric clustering

open access: yesJournal of King Saud University: Computer and Information Sciences
Multi-view graph clustering has garnered tremendous interest for its capability to effectively segregate data by harnessing information from multiple graphs representing distinct views.
Xiaoshuang Sang   +3 more
doaj   +1 more source

gcMECM: graph clustering of mutual exclusivity of cancer mutations. [PDF]

open access: yesBMC Bioinformatics, 2021
Hu Y, Yan C, Chen Q, Meerzaman D.
europepmc   +1 more source

MLG: multilayer graph clustering for multi-condition scRNA-seq data. [PDF]

open access: yesNucleic Acids Res, 2021
Lu S   +5 more
europepmc   +1 more source

MAGUS: Multiple sequence Alignment using Graph clUStering. [PDF]

open access: yesBioinformatics, 2021
Smirnov V, Warnow T.
europepmc   +1 more source

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