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Text clustering is the key technology for topic detection, and topic detection is essentially similar to the unsupervised clustering. However, general clustering is based on global information, and clustering in the topic detection is based on incremental ways. So we should study topic detection according to clustering algorithm, and it is necessary for(More)
Text classification is the key technology for topic tracking, and vector space model (VSM) is one of the most simple and effective model for topics representation. Feature selection algorithm in VSM is an important means of data pre-processing, and it can reduce vector space dimension and improve the generalization ability of the algorithm. Therefore, it is(More)
Through researching and analyzing regions and routes in police patrols, we use self-adaptive fuzzy C-means clustering algorithm, dijkstra algorithm and simulated annealing algorithm to develop decision support system for police patrols. We put self-adaptive strategy and fuzzy C-means (FCM) clustering algorithm together to form a self-adaptive FCM clustering(More)
—Through researching and analyzing the structure of lucene package, we have developed a full-text information retrieval system on the basis of lucene full-text retrieval. After mastering index structure and principle, we increase the size of index buffer in memory and decrease the frequency of writing index to disk by a specific algorithm. What is more, we(More)
Text classification is the key technology for topic tracking, and vector space model (VSM) is one of the most simple and effective model for topics representation. On the basis of VSM and support vector machines (SVM), we have studied how feature space dimension in VSM as well as linearly separable and non-separable SVM affect topic tracking. Then we get(More)
Text classification is the key technology for topic tracking, and vector space model (VSM) is one of the most simple and effective models for topics representation. On the basis of information gain algorithm and chi square &#x03C7;<sup>2</sup> in VSM, we have studied how feature selection algorithm and feature dimension in VSM affect topic tracking. And(More)
Through researching and analyzing self-adaptive strategy and fuzzy C-means &#40;FCM&#41; clustering algorithm, we put them together to form a self-adaptive FCM clustering algorithm. It is a good solution to the problem of local optimum as well as sensitivity to the initial value for the traditional FCM clustering algorithm. Finally, the new algorithm has(More)