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Mathimatics-Numerical algorithms list
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Huffman coding compression algorithm, in the Huffman code which has all the information considered as the weight of the leaves, the lower frequency of occurrence finishing together, to build a called
Date : 2008-10-13 Size : 2.84kb User : elvis

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Will encoding, the smaller the value was assigned a shorter code, and the value the greater will be the allocation of long-bit code. Therefore, Weir coding in the
Date : 2008-10-13 Size : 1.87kb User : elvis

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LZ coding, dictionary compression, the use of a collection of data values (data pattern), the distribution of a still shorter than the original value of the code.
Date : 2008-10-13 Size : 3.72kb User : elvis

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DCT compression make the results of treatment. Deletion of the median high-frequency components by means of high-frequency components of the distribution less the median to reduce the amount of data collation. Irreversib
Date : 2008-10-13 Size : 5.4kb User : elvis

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Hadamard conversion compression process, delete the human eye changes more difficult to detect high-frequency part of the amount of data to achieve the purpose of reducing the amount of data. Use less high-frequency part
Date : 2008-10-13 Size : 5.17kb User : elvis

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Date : 2008-10-13 Size : 39.43kb User : LL

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Frequent Induced Subtree Clustering Algorithm FREQT, very good
Date : 2008-10-13 Size : 187.73kb User : 苗建新

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Density-based clustering algorithm DNBSCAN, Ester, very classic
Date : 2008-10-13 Size : 94.18kb User : 苗建新

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C#+ ACCESS Online Course Selection System Design and Implementation
Date : 2008-10-13 Size : 2.86mb User : 111111

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Computer Science students is a good thing, for to c++ And c aspects of the development of students, this is the United States acm programming contest algorithms, very good
Date : 2008-10-13 Size : 106.02kb User : 杨毅

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A BP network C++ Source. And under the U.S. share. Have to pay only return.
Date : 2008-10-13 Size : 3.05kb User : 杨平

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K-MEANS algorithm Input: cluster number k, and contains n data object database. Output: the minimum standards to meet the variance k-clustering. Deal flow: (1) a data object from the n choose k object as initial cluster
Date : 2008-10-13 Size : 3.38kb User : 快快
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