English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Spectral Method is a commonly used scheme to cluster data points lying closeto Union of Subspaces by first constructing a Random Geometry Graph, calledSubspace Clustering. This paper establishes a theory to analyze this method.Based on this theory, we demonstrate the efficiency of Subspace Clustering infairly broad conditions. The insights and analysis techniques developed in thispaper might also have implications for other random graph problems. Numericalexperiments demonstrate the effectiveness of our theoretical study.

Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph