This paper presents a variant of the parallel execution of certain phases of the clustering of documents using the algorithm FRiS-Cluster. We give quantitative values of time the process takes to demonstrate the benef...
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This paper presents a variant of the parallel execution of certain phases of the clustering of documents using the algorithm FRiS-Cluster. We give quantitative values of time the process takes to demonstrate the benefits of implementing the parallel implementation of various stages of processing: A preliminary analysis of documents, which includes calculation of similarity measures, and partly in the performance of the clustering process itself.
Nowadays, most of the clustering methods are studied towards the onefold attribute type, such as numerical attribute, character attribute etc. Therefore, it needs to develop the clustering method which could deal with...
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This paper deals with clustering of speakers’ short segments, in a scenario where additional segments continue to arrive and should be constantly clustered together with previous segments that were already clustered....
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In 21st century, the development of information technology has led to an overall improvement in people’s material level. Especially the big consumer group of college students. Campus information technology has now be...
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In this study, we tackle the issue of application collusion, which involves multiple apps working together to achieve malicious goals that they couldn’t achieve individually. The current security model of Android, wh...
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In this paper, we apply TDT technology to the vertical search engine in the financial field. The returned results are grouped into several topics with the stock as the unit. Then we show the topics to the users in tim...
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K-means clustering is a popular conventional clustering algorithm. As it does not use the structure information of data sets, sometime the clustering result will be dissatisfied. Manifold learning algorithms can revea...
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Membrane computing has been applied in broad fields such as Biological modeling, NPC problems and combinatorial problems. It has great parallelism and non-determinacy. In this paper, a new variety of P system with cha...
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In this paper, we streamline the Grassmann multivariate time sequence (MTS) clustering for state-space dynamical modelling into three umbrella approaches: (i) Intrinsic approach where clustering is entirely constraine...
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Wireless sensor networks (WSNs) are mainly used for systematic gathering of useful information and for the transmission of the gathered data to the base station for further processing. Despite the innumerable applicat...
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