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Based on the complex network theory, we proposed a clustering algorithm based on content similarity. Firstly, the Chinese documents are represented by the vector-space model, and the content similarity between any two documents is computed by the cosine similarity. Consequently, the network node is defined as a document, and the edge weight is defined as the similarity obtained by the cosine similarity...
According to the problem that K-Means clustering algorithm fails to correctly distinguish non-convex shape clusters, computation mode of distance in the algorithm is changed and density metric mode which can reflect the characteristics of data themselves is adopted instead. In the mode, Delaunay triangulation graph which has the advantages of nearest neighbour and adjacency is introduced to compute...
Literature-based discovery is linking two or more literature concepts that have heretofore not been linked (i.e., disjoint), in order to produce novel, interesting, plausible, and intelligible knowledge. Cluster analysis is the core of literature-based discovery. This paper proposes an improved fuzzy c means (FCM) algorithm based on the analysis of existing clustering analysis of literature-based...
Spatial data mining is the process of identifying or extracting efficient, novel, potentially useful and ultimately understandable patterns from the spatial data set, the spatial clustering analysis is one of the most important research directions in spatial data mining. Clustering criterion implied in massive data can be discovered by spatial clustering analysis method which can be used to explore...
Clustering is a hot research field in data mining. There are so many methods or algorithms designed for different type data set on which data analysis action operates. Local Agglomerative Characteristic (LAC) based Algorithm, in this paper, is presented for data clustering, which can handle clusters of different size, shapes, and densities, can work well on different distributed and natural variant...
With the widespread of Internet application, more and more enterprises build their Web sites and provide business information through Web pages. Web page classification could be used to assign the enterprise Web pages to one or more predefined business categories. On the purpose of Internet-based enterprises administration in E-government system, algorithms and application related to web page classification...
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