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各类聚类算法程序包,包含各种经典的聚类算法,例如:k-mean聚类等-Various types of clustering algorithm package, contains a variety of classic clustering algorithms, such as: k-mean clustering, etc.
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较简单的KMeans聚类算法实现,编程语言matlab-Clustering KMeans relatively simple algorithm, programming language matlab
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这是K-neans动态聚类算法的源程序,是人工智能领域很有用的一种聚类方法。-This is K-neans source dynamic clustering algorithm, the field of artificial intelligence are useful in a clustering method.
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所上传文件包包括6种vc++源代码:使用opencv的实现可视图的静态路径规划;简单的svm算法;基于vc2008的图像匹配(多工程结构);基于局部搜索的K-means聚类算法;三维匹配中的ICP算法;视觉tracking中的condensation算法-Upload file package, including the six kinds of vc++ source code: using opencv to view the realization of the static path
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k-mean image clustering source code developed using java
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文档分类,用K均值,加入了K的选择算法,不用人为设定聚类个数-Document classification, using K-means, joined the K of the selection algorithm, not the number of artificial clustering
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一个K分簇聚类算法,简单,易于学习,可以进行扩展-A K sub-cluster clustering algorithm, simple, easy to learn
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kmeans均值聚类算法:一种改进的基于半监督聚类的入侵检测算法ASCID(Active-learning Semi-supervised Clustering Intrusion Detection),-kmeans clustering algorithm
Algorithm was simulated by KDD 99 datasets, which the experimental results demonstrate that ASCID algorithm can impro
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k均值聚类算法的C++实现,在VC2003下调试通过。-k-means clustering algorithm C++ implementation, the VC2003 debug through.
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将K均值算法用于图像分割,输入的是彩色图像,转换为灰度图像进行分割,输出结果为灰度图像.利用灰度做为特征对每个像素进行聚类,由于光照等原因,有时应该属于一个物体的像素,其灰度值也会有很大的差别,可能导致对该像素的聚类发生错误.在分割结果中,该物体表面会出现一些不同于其它像素的噪声点,因此,算法的最后,对结果进行一次中值滤波,以消除噪声,达到平滑图像的作用-The K means algorithm for image segmentation, the input is a color imag
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k均值聚类算法
c语言实现的!!!!!
-k-means clustering algorithm c language to achieve! ! ! ! !
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K-Means动态聚类算法源程序。可以用来发现社团结构。-Dynamic K-Means clustering algorithm source code. The structure can be used to find associations.
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算法描述:
K均值聚类算法:
给定类的个数K,将N个对象分到K个类中去,
使得类内对象之间的相似性最大,而类之间的相似性最小-Algorithm Descr iption: K-means clustering algorithm: Given the number of classes K, the N objects assigned to a class K to go, making within-class similarity between objects
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数据挖掘,聚类,遗传算法,k-means算法,基于遗传算法的k-means聚类方法。-Data mining, clustering, genetic algorithm, k-means algorithm, based on genetic algorithm k-means clustering method.
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模式识别分层聚类、k—均值算法,支持向量机、线性判别、判别代码、ppt-Pattern recognition hierarchical clustering, k-means algorithm, support vector machines, linear discriminant, discriminant code, ppt
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对电路板的图像进行分割,可以提取电路板中的目标物,以对电路板进行检测。文章使用K均值聚类算法完成对电路板图像的分割,针对传统的K均值聚类算法的不足,提出了使用直方图波形的有效波峰个数来确定K值的大小,并通过使用一种比传统的绝对误差的表示更简洁的表达式,达到了快速分割的目的。对一些电路板图像分割的实验结果表明,文章的方法能够根据目标物的数目有效的确定K值的大小,且比传统的K均值算法减少了运算量及计算时间。-On the circuit board image segmentation, to ex
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用C++实现k-mean聚类算法并进行初级的数据挖掘,-Using C++, k-mean clustering algorithm and a preliminary data mining,
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模糊聚类算法,K-means and K-medoid algorithms,Fuzzy C-means algorithm,The Gustafson{Kessel algorithm,The Gath{Geva algorithm-Fuzzy clustering algorithm, K-means and K-medoid algorithms, Fuzzy C-means algorithm, The Gustafson (Kessel algorithm, The Gath (Gev
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k均值聚类算法 ,c语言实现 了基于均值的聚类分析,同时增加了多维向量分析功能,使得聚类的收敛速度更快。-k means clustering algorithm, c language implemented based on the mean cluster analysis, while increasing the multi-dimensional vector analysis functions, making the convergence faster clustering.
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K-means聚类算法的VC实现,算法简单-K-means clustering algorithm to achieve VC algorithm is simple
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