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Description
A dataset related to the Clusterpath estimator of the Gaussian Graphical Model (CGGM), a method for variable clustering in graphical models. The dataset, authored by D.J.W. Touw and last updated on 2026-04-09, includes files such as TXT, ODS, PDF, R, MD, CSV, GZ, RDATA, GITIGNORE, and RPROJ, totaling 101.0 MB. It supports a convex optimization approach that encourages block-structured precision and covariance matrices.
Use Cases
Estimating block-structured precision matrices based on the described aggregation penalty.
Clustering variables in Gaussian graphical models based on the CGGM methodology.
Benchmarking clustering performance against other state-of-the-art methods as referenced in the description.
Implementing cyclic block coordinate descent algorithms for efficient CGGM estimation.
Strengths
Dataset size is 101.0 MB, indicating a medium-scale resource.
Includes multiple file formats (TXT, ODS, PDF, R, MD, CSV, GZ, RDATA, GITIGNORE, RPROJ) for varied access.
Released under the CC-BY-4.0 license, permitting open sharing and adaptation.
Last updated on 2026-04-09, suggesting recent maintenance.
Limitations
Row count is unknown, which may limit suitability assessment.
Column-level documentation is absent; field semantics must be inferred after download.
Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
Source
figshare
Collection Method
Likely contains simulation results and empirical application data supporting the CGGM method.
Time Range
null
Freshness
Last updated 2026-04-09 21:13:09; freshness should be verified.
Geography
null
Requires tools for handling R data formats (RDATA, RPROJ) and compressed files (GZ).