Clustering, as an unsupervised data mining technique, allows us to classify similar objects
into the same cluster according to certain criteria. It helps us identify patterns between …

In crowdsourcing learning, a certain degree of label noise still exists in the integrated labels,
which are obtained by label integration algorithms. In order to decrease the impact of label …

The key idea behind three-way clustering (3WC) is to group items into three regions to
reveal patterns that might not be apparent using two-way clustering. Three-way clustering …

A bunch of stream clustering algorithms have been proposed recently to mine data streams
generated at high speeds from hardware platforms and software applications. Density …

In this paper, a graph-based density clustering framework is proposed that detects the
boundary points of clusters rather than cluster exemplars in high density regions. The …

Density-based clustering algorithms are known for their ability to detect irregular clusters, but
they have limitations when it comes to dealing with clusters of varying densities. In this …

Since the Fuzzy C-Means algorithm is incapable of considering the influence of different
features and exponential constraints on high-dimensional and complex data, a fuzzy …

为了解决密度峰值聚类算法选择密度峰值点困难以及误分配的问题, 基于流形的连通性,
提出了一种改进的密度峰值聚类算法. 通过使用三支密度峰值聚类算法, 得到初始聚类结果与簇 …

With the advent of the Internet, individuals have access to an ever-increasing array of
external information sources, and as such, advertising information has undergone a …