Local clustering aims at extracting a local structure inside a graph without the necessity of
knowing the entire graph structure. As the local structure is usually small in size compared to …

The sparse solution technique, stemming from the principles of compressive sensing, holds
myriad applications in both applied mathematics and data science. This dissertation studies …

In this work, we propose to use a local clustering approach based on the sparse solution
technique to study the medical image, especially the lung cancer image classification task …

Conventional community detection methods often categorize all nodes into clusters.
However, the presumed community structure of interest may only be valid for a subset of …