Dynamic Graph Learning for Data Clustering
摘要
Clustering is one of the fundamental techniques in machine learning. It has been widely applied to various research fields, such as gene expression [1], face analysis [2], image annotation [3], and recommendation [4, 5]. In the past decades, many clustering approaches have been developed, such as k-means [6], spectral clustering [7–11] spectral embedded clustering [12] and normalized cut [13].