CDC: A Simple Framework for Complex Data Clustering

arXiv:2403.03670v1 Announce Type: new
Abstract: In today's data-driven digital era, the amount as well as complexity, such as multi-view, non-Euclidean, and multi-relational, of the collected data are growing exponentially or even faster. Clustering, which unsupervisely extracts valid knowledge from data, is extremely useful in practice. However, existing methods are independently developed to handle one particular challenge at the expense of the others. In this work, we propose a simple but effective framework for complex data clustering (CDC) that can efficiently …

abstract arxiv cdc clustering complexity cs.lg data data-driven digital faster framework however knowledge non-euclidean practice relational simple type view