Clustering is a process of partitioning a set of data (or objects) into a set of meaningful sub-
classes, called clusters, help users understand the natural grouping or structure in adata set …

While commenting on the architecture of the T-LAB system for text analysis, the author
addresses several methodological issues, also maintaining that 'true'textual (or content) …

Clustering is the process of partitioning a set of data objects into subsets. It is commonly
used technique in data mining, information retrieval, and knowledge discovery for finding …

The expensive time consumption and hyper-parameters are two main drawbacks of most
existing multi-view graph clustering methods. Especially in large-scale data clustering, these …

Multi-view subspace clustering has attracted much attention because of its effectiveness in
unsupervised learning. The high time consumption and hyper-parameters are the main …

Text clustering is a text mining technique used to group text documents into groups (or
clusters) based on similarity of content. This organization (ie clustering) is so as to make …

Web usage mining is the area of web mining which deals with extraction of useful
knowledge from web log information produced by web servers. One of the most important …

限于单体的功率和能量, 电池组必须由成百上千的单体串并联而成, 同时依赖于有效的电池管理
技术, 从而保证车辆行驶的动力性和经济性. 然而制造误差和使用环境的不同导致电池单体存在 …

The research focuses on optimizing training time for video retrieval by producing optimized
prototypes for a hybrid SVM-softmax regression classifier. A modified particle swarm …

ABSTRACT Digital Forensic Investigation is the branch of scientific forensic process for
investigation of material found in digital devices related to computer crimes. Digital evidence …