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The LAMOST (large sky area multi-object fiber spectroscopic telescope) is one of the national key scientific projects. It will yield 10,000~20,000 spectra per observation night. Automatic spectral analysis and recognition focused on helping astronomers finding their interesting celestial objects. become desirable and necessary. In this paper an efficient data mining application based on improved Principal...
In order to precisely procure the Chinese person information on the web, especially distinguish from the namesake, this paper propose a clustering algorithm based on latent semantic model. It establishes for every document a latent semantic model of sentence-word matrix based on central distance, central segment, document length, etc, by building the central word library of person attributes. It clusters...
We report an automatic feature discovery method that achieves results comparable to a manually chosen, larger feature set on a document image content extraction problem: the location and segmentation of regions containing handwriting and machine-printed text in documents images. This approach is a greedy forward selection algorithm that iteratively constructs one linear feature at a time. The algorithm...
This paper presents a new method for the mining the hottest topics on Chinese Web page which is based on the improved k-means partitioning algorithm. The dictionary applied to word segmentation is reduced by deleting words is which are useless for clustering, and the dictionary tree is created to be applied to word segmentation. Then the speed of word segmentation is improved. Correspondence between...
With the development of SOC designs, modern floorplanning typically needs to provide extra options to meet the different emerging requirements in the hierarchical designs, such as boundary constraint for I/O connection, clustering constraint for performance and reliability, etc. This paper addresses modern floorplanning with boundary clustering constraint. It has been empirically shown that the modern...
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