One key issue in text mining and natural language processing is how to effectively represent
documents using numerical vectors. One classical model is the Bag-of-Words (BoW). In a …

In this paper, we put forward a novel approach for change detection in synthetic aperture
radar (SAR) images. The approach classifies changed and unchanged regions by fuzzy c …

Most of the existing community detection algorithms are based on vertex connectivity. While
in many real networks, each vertex usually has one or more attributes describing its …

This study proposes a novel evolutionary kernel intuitionistic fuzzy c-means clustering
algorithm (EKIFCM) that combines Atanassov's intuitionistic fuzzy sets (IFSs) with kernel …

A complex network is a network with non-trivial topological structures. It contains not just
topological information but also attribute information available in the rich content of nodes …

In spatiotemporal data commonly encountered in geographical systems, biomedical signals,
and the like, each datum is composed of features comprising a spatial component and a …

Many real-world problems can be represented as complex networks with nodes
representing different objects and links between nodes representing relationships between …

Abstract Objects that are interrelated with each other are often represented as
homogeneous networks, in which objects are of the same entity type and relationships …

Multi-view data clustering refers to categorizing a data set by making good use of related
information from multiple representations of the data. It becomes important nowadays …

As an important technique of data analysis, clustering plays an important role in finding the
underlying pattern structure embedded in unlabeled data. Clustering algorithms that need to …