| Name : R-CASCORE
| |
| Version : 0.1.2
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.5
| Date : 2024-06-14 11:14:02
|
| Group : Development/Libraries/Other
| Source RPM : R-CASCORE-0.1.2-lp153.1.5.src.rpm
|
| Size : 0.06 MB
| |
| Packager : (none)
| |
| Summary : Covariate Assisted Spectral Clustering on Ratios of Eigenvectors
|
Description :
Functions for implementing the novel algorithm CASCORE, which is
designed to detect latent community structure in graphs with node
covariates. This algorithm can handle models such as the
covariate-assisted degree corrected stochastic block model (CADCSBM).
CASCORE specifically addresses the disagreement between the community
structure inferred from the adjacency information and the community
structure inferred from the covariate information. For more detailed
information, please refer to the reference paper: Yaofang Hu and Wanjie
Wang (2022) < arXiv:2306.15616>. In addition to CASCORE, this package
includes several classical community detection algorithms that are
compared to CASCORE in our paper. These algorithms are: Spectral
Clustering On Ratios-of Eigenvectors (SCORE), normalized PCA, ordinary
PCA, network-based clustering, covariates-based clustering and
covariate-assisted spectral clustering (CASC). By providing these
additional algorithms, the package enables users to compare their
performance with CASCORE in community detection tasks.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
