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  資源簡介：Determination of number of clusters in K-Means Clustering and Application in color image segmenta

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• kmeans算法實(shí)現(xiàn) a simple k-means Clustering routine. returns the cluster labels of the data points in a免費(fèi)下載

  資源簡介：kmeans算法實(shí)現(xiàn) a simple k-means Clustering routine. returns the cluster labels of the data points in an array.

  標(biāo)簽： Clustering the k-means cluster

  上傳時(shí)間： 2013-12-28

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• K Means Algrithm it is in v c#.免費(fèi)下載

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  標(biāo)簽： Algrithm Means it is

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  資源簡介：Scalable k-means software and test datasets This package (a Unix tar file, gzipped) contains the source code for the software that was used to run the experiments for the article

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• An Efficient K-Means Clustering Algorithm.免費(fèi)下載

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• K-means Clustering using Berkeley DB免費(fèi)下載

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• this is a very good code for k means Clustering. works quite fast. can download for school assignmen免費(fèi)下載

  資源簡介：this is a very good code for k means Clustering. works quite fast. can download for school assignments.

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• an quasi-newton method used in non-linear programming and especially in optimization免費(fèi)下載

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  標(biāo)簽： Qeensland functions provides Toolbox

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  標(biāo)簽： input cases test The

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• The creation of believable and endearing characters in computer graphics presents a number of techn免費(fèi)下載

  資源簡介：The creation of believable and endearing characters in computer graphics presents a number of technical challenges, including the modeling, animation and rendering of complex shapes such as heads, hands, and clothing.

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  資源簡介：Software developers need to have a number of traits in order to practice their craft well. First, they must be good analytical thinkers and problem solvers. A developer’s primary role is to create software that solves business problems. ...

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• spoj dtree. Count the number of distinct elements in a given range. Usage is done using fenwick tree免費(fèi)下載

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  標(biāo)簽： distinct elements fenwick number

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• this is the paper of " detecting the number of signals in wireless ds-cdma networks"免費(fèi)下載

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  資源簡介：Ordinal Representation for Biometric Patterns. Very helpful in Large number of object to be compared. its sort of ranking based comparison.not quantitative

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