Clustering with Label Consistency

This article, sourced from ArXiv, likely presents a novel approach to clustering algorithms. The focus on 'label consistency' suggests an attempt to improve the accuracy or robustness of clustering by incorporating information about the labels associated with the data points. The research likely explores how to ensure that data points within the same cluster share similar labels, or how to leverage label information to guide the clustering process. The use of ArXiv indicates this is a pre-print or research paper, suggesting a technical and in-depth analysis of the topic.