Advances in recent techniques for scientific data collection in the era of big data allow for the
systematic accumulation of large quantities of data at various data-capturing sites. Similarly …

Clustering is one of the main methods for getting insight on the underlying nature and
structure of data. The purpose of clustering is organizing a set of data into clusters, such that …

初始聚类中心及聚类过程产生的冗余信息是影响K means 算法聚类性能的主要因素,
也是阻碍该算法性能提升的主要问题. 因此, 提出一个改进的K means 算法 …

This paper proposes a new criterion for reducing the processing time of the assignment of
data points to clusters for algorithms of the k-means family, when they are applied to …

为了全面分析扇区复杂性, 将其分解为结构复杂性和运行复杂性. 借鉴已有的研究成果,
围绕结构特征和运行特征, 分别建立了多维指标体系. 利用主成分分析方法提炼指标信息 …

This paper proposes two advanced algorithms embedded into an integrated system; one is
a Dynamic Path Selection Clustering (DPSC) algorithm for the document clustering and the …

This thesis introduces the status and methods of data mining, aiming at the Nantong
University campus network users access data preprocessing analysis, using the K-means …

Information Retrieval is the most predominant topic in the field of Information Systems as the
generation of data over various systems and channels is growing every day. The proposed …