In this paper, we show how spatial correlation in data can be exploited to reduce energy consumption in a wireless sensor network. We analytically characterize the optimal cluster size, and then use a greedy clusterin...
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A method of reconfigurable manufacturing cells regarding process route as the basic clustering particle is proposed according to the similarity of production process after analyzing the relationship of parts, process ...
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The performance of the clustering algorithms depends mainly on the setting of artificial parameter values which is usually difficult in practical application. In addition, the dataset is usually incremental, and the c...
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In this paper, we present an approach to audio clustering, based on EM Algorithm with Gaussian Mixture. The proposed algorithm is simple and practical;it has an advantage in mass data processing. By improving it, the ...
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ISBN:
(纸本)9781849195058
In this paper, we present an approach to audio clustering, based on EM Algorithm with Gaussian Mixture. The proposed algorithm is simple and practical;it has an advantage in mass data processing. By improving it, the algorithm can be applied in audio MFCC feature clustering. For further exploration and research, firstly, we make a division of the library into speech and music by Zero-crossing Rate. And then, it is key point to further classify the library of music, such as pop music, rock music, and classical music and so on. In this process, we adopt Gaussian Mixture based on EM Algorithm, using 12-dimensional MFCC (Mel Frequency Cesptral Coefficient) as a feature vector set. The experimental results show that the proposed algorithm can demonstrate that the algorithm increases rate of audio classification compared with the unsupervised study and has good clustering ability.
clustering is a common technique for the analysis of large images. In this paper a new approach to hierarchical clustering of very large data sets is presented. The GRIDCLUS algorithm uses a multidimensional grid data...
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The traditional clustering methods, which rely on sample spacing to construct clusters, cannot be applied to high-dimensional data due to its intricate data structure and numerous irrelevant attributes. In practice, h...
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Objective: In order to build a more accurate and effective power load forecasting model, this paper analyzes it. Methods: Based on the improved parallel fuzzy kernel clustering algorithm, this paper expounds the advan...
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Tag clouds are useful means for navigation in the social web systems. Usually the systems implement the tag cloud generation based on tag popularity which is not always the best method. In this paper we propose method...
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For the need of revealing the structure and dynamics of science, text mining technologies have been widely used in extracting technical intelligence from research literature. To analyze the status of research fields, ...
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