An effective tracking method is proposed to solve the problem that the electro-optical tracking system in Missile Range easily loses the real target during the target separation. Before target separation, the error co...
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The most important property of the wireless sensor networks deployed for their numerous applications is their self-organizing property. The self-organizing property calls for network decomposition into clusters of spe...
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Aiming at the problems of traditional clustering algorithms in the process of large amount of big data anomaly monitoring under the background of big data, a big data anomaly detection method based on improved fast de...
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Complex artificial life simulations can yield substantially distinct populations of agents corresponding to different adaptations to a common environment or specialized adaptations to different environments. Here we s...
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A Greedy Algorithm for Document clustering (Greedy clustering) is proposed in this paper. Various cluster validity indices (DB, CH, SD, AS) are used to find the most appropriate optimization function for Greedy Cluste...
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ISBN:
(纸本)9789898425980
A Greedy Algorithm for Document clustering (Greedy clustering) is proposed in this paper. Various cluster validity indices (DB, CH, SD, AS) are used to find the most appropriate optimization function for Greedy clustering. The clustering algorithms are tested and compared on Reuter-21578. The results show that AS Index shows the best performance and the fastest running time among cluster indices in various experiments. Also Greedy clustering with AS Index has 15-20% better performance than traditional clustering algorithms (K-means, Group Average).
The task of organizing and clustering multilingual news articles for media monitoring is essential to follow news stories in real time. Most approaches to this task focus on high-resource languages (mostly English), w...
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clustering algorithms play an important role in wireless self-organized network, especially the adaptive on-demand weighted clustering algorithm (AOW). But the AOW algorithm also has some limitations in most applicati...
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The Internet is drastically becoming part of our life as well as work. Every aspect of life is somehow associated with Internet due to which communication and technology needs to be getting advanced day by day. With t...
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In this paper we investigate an application of feature clustering for word sense disambiguation, and propose a semisupervised feature clustering algorithm. Compared with other feature clustering methods (ex. supervise...
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作者：
Hänsch, RonnyJäger, MarcHellwich, Olaf
Department of Electrical Engineering Computer Science Computer Vision and Remote Sensing Sekr FR 3-1 Franklinstr. 28/29 BerlinD-10587 Germany
The basic assumption of clustering is that the observed data embodies a specific structure. This structure is represented by groups of data points, which are relativly isolated within the feature space. The goal of cl...
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