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The last step in training phase is refinement of the clusters found above. Although DynamicClustering counters all the basic k-means disadvantages, setting the intra-cluster similarity r may require experimentation. Also, a cluster may have a lot in common with another, i.e., sequences assigned to it are as close to it as they are to another cluster. There may also be denser sub-clusters within the larger ones.
標(biāo)簽： DynamicClusteri refinement Although clusters
上傳時間： 2014-01-04
上傳用戶：watch100
求標(biāo)準(zhǔn)偏差 > function c=myfunction(x) > [m,n]=size(x) > t=0 > for i=1:numel(x) > t=t+x(i)*x(i) > end > c=sqrt(t/(m*n-1)) function c=myfunction(x) [m,n]=size(x) t=0 for i=1:m for j=1:n t=t+x(i,j)*x(i,j) end end c=sqrt(t/(m*n-1
標(biāo)簽： gt myfunction function numel
上傳時間： 2014-01-15
上傳用戶：hongmo
求標(biāo)準(zhǔn)偏差 > function c=myfunction(x) > [m,n]=size(x) > t=0 > for i=1:numel(x) > t=t+x(i)*x(i) > end > c=sqrt(t/(m*n-1)) function c=myfunction(x) [m,n]=size(x) t=0 for i=1:m for j=1:n t=t+x(i,j)*x(i,j) end end c=sqrt(t/(m*n-1
標(biāo)簽： gt myfunction function numel
上傳時間： 2013-12-26
上傳用戶：dreamboy36
求標(biāo)準(zhǔn)偏差 > function c=myfunction(x) > [m,n]=size(x) > t=0 > for i=1:numel(x) > t=t+x(i)*x(i) > end > c=sqrt(t/(m*n-1)) function c=myfunction(x) [m,n]=size(x) t=0 for i=1:m for j=1:n t=t+x(i,j)*x(i,j) end end c=sqrt(t/(m*n-1
標(biāo)簽： gt myfunction function numel
上傳時間： 2016-06-28
上傳用戶：change0329
求標(biāo)準(zhǔn)偏差 > function c=myfunction(x) > [m,n]=size(x) > t=0 > for i=1:numel(x) > t=t+x(i)*x(i) > end > c=sqrt(t/(m*n-1)) function c=myfunction(x) [m,n]=size(x) t=0 for i=1:m for j=1:n t=t+x(i,j)*x(i,j) end end c=sqrt(t/(m*n-1
標(biāo)簽： gt myfunction function numel
上傳時間： 2014-09-03
上傳用戶：jjj0202
Basic tutorial This tutorial provides a step by step walkthrough of the workbench.
標(biāo)簽： tutorial step walkthrough workbench
上傳時間： 2013-11-30
上傳用戶：腳趾頭
"TR1 roughly doubles the size of the C++ standard library, and it introduces many new facilities and even new kinds of library components. TR1 has some classes, for example, where some nested types may or may not exist depending on the template arguments. To programmers whose experience stops with the standard library, this is strange and unfamiliar. This book is complete (it covers all TR1 facilities), it is easier to understand than TR1 itself, and it is technically accurate."
標(biāo)簽： introduces facilities and the
上傳時間： 2016-07-20
上傳用戶：aappkkee
Its a small library for decompress gzip files in j2me. The final size after obfuscation and jaring is less than 2150 bytes.
標(biāo)簽： obfuscation decompress library jaring
上傳時間： 2013-12-11
上傳用戶：zhaiye
presentation of Fast Variable Block Size Motion Estimation Algorithms Based on Merge and Split Procedures for H.264/MPEG-4 AVC
標(biāo)簽： presentation Algorithms Estimation Variable
上傳時間： 2014-01-12
上傳用戶：朗朗乾坤
課程設(shè)計之磁盤調(diào)度算法：N-Step—Scan
標(biāo)簽： N-Step Scan 磁盤 調(diào)度算法
上傳時間： 2016-08-16
上傳用戶：515414293
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