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As Adaboost has a good performance in classification, it is widely used in pattern recognition. However it takes long time to generate the weak classifiers. For improving the training speed, this paper presents a fast Adaboost weak classifier training algorithm. Firstly, sort the Eigen values to an array from small to large, and then traverse the sorted array once to find the best threshold and bias...
Experiments are carried out on datasets with different dimensions selected from UCI datasets by using two classical clustering algorithms. The results of the experiments indicate that when the dimensionality of the real dataset is less than or equal to 30, the clustering algorithms based on distance are effective. For high-dimensional datasets--dimensionality is greater than 30, the clustering algorithms...
With data mining becoming more and more important in many research area, cluster analysis has played an important role in geoscience application domain. Though the range of clustering algorithms that have been developed is broad, this paper will classify them according the broad approach or method adopted by each: a partitioning method, a hierarchical method, a density-based method, a grid-based method,...
With the rapid growth of the amount of information available in the Web, webpage classification technologies are widely employed by many search engines in order to formulate user queries and make users' search tasks easier. Knowledge grid is a new form of Web environment, in which a resource space model is employed in order to classify available semantic documents within the Web environment. However,...
Three clustering methods are presented and discussed by experimental analysis. The results by using three clustering methods which are partitioning methods, hierarchical methods and density-based methods visually illustrate the clustering results, in two-dimensional data sets as experimental data are used. Clearly, when the original data set is spherical shape, most of the cluster methods can get...
Nowadays, the research of crawlers moves closer to the semantic web, along with the appearance of increasing XML/RDF/OWL files and the rapid development of ontology mark-up languages. As an emerging concept, metadata abstraction crawlers are a series of crawlers that aim to abstract metadata from normal HTML documents, based on various semantic Web technologies. In this paper, we make a general survey...
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