Clustering is a machine learning paradigm of dividing sample subjects into a number of
groups such that subjects in the same groups are more similar to those in other groups. With …

As a representative of multi-view clustering (MVC), late fusion MVC (LF-MVC) algorithm has
attracted intensive attention due to its superior clustering accuracy and high computational …

The superior spectral efficiency (SE) and user fairness feature of non-orthogonal multiple
access (NOMA) systems are achieved by exploiting user clustering (UC) more efficiently …

In the clustering ensemble the quality of base-clusterings influences the consensus
clustering. Although some researches have been devoted to weighting the base-clustering …

A brain tumor is an abnormal growth of cells, reproducing themselves in an uncontrolled
manner. In a medical diagnosis system, the accurate detection of location and size plays a …

数字化转型是推动制造业升级的重要动力, 不断提升制造业行业出口技术复杂度是加快建设制造
业强国的重要抓手. 本文基于2008—2015 年49 个国家的网络就绪指数和这些国家15 …

The rapid emergence of high-dimensional data in various areas has brought new
challenges to current ensemble clustering research. To deal with the curse of …

Determining the number of clusters of a data set, which is usually evaluated by a clustering
validity index (CVI), is a significant issue in clustering analysis. While several CVIs have …

Lithology identification is an important part of reservoir evaluation and reservoir description
when processing and interpreting geophysical record data. Clustering analysis refers to the …

Fuzzy C‐means (FCM) is an important clustering algorithm with broad applications such as
retail market data analysis, network monitoring, web usage mining, and stock market …