搜索资源列表
K_means
- 一种聚类方法,K均值聚类。一种简单的聚类方法-K means
Cluster_K-means
- k中心算法的基本过程是:首先为每个簇随意选择一个代表对象,剩余的对象根据其与每个代表对象的距离(此处距离不一定是欧氏距离,也可能是曼哈顿距离)分配给最近的代表对象所代表的簇;然后反复用非代表对象来代替代表对象,以优化聚类质量。聚类质量用一个代价函数来表示。当一个中心点被某个非中心点替代时,除了未被替换的中心点外,其余各点被重新分配。-The basic process k center algorithm is: First free to choose a delegate object fo
kemanstuxiang
- 利用K均值聚类算法进行图像分类的基本方法,将模式识别方法与图像处理技术相结合,-Using K means clustering algorithm to carry out the basic method of image classification, the pattern recognition method and image processing technology,
Mymeans
- k-means(k均值聚类),使用R语言实现,分类的准确度跟自带的差不多-k-means written by myself
K-MeansPP
- K均值算法的实现,其中实现随机获取聚类中心-Realizing the K-means algorithm, which realize stochastic get clustering center
clusteringAnalysis
- 模式识别中K均值聚类分析算法的matlab实现及注释,其中采用了误差平方和判断。-K-means clustering analysis algorithm in pattern recognition of matlab and annotation, which adopts the error sum of squares of judgment
xy917137
- 我编写的MATLAB程序,刚开始学些数据挖掘的只是,是分类的temp算法中的k均值聚类算法,模式识别大作业,在MATLAB temp1环境下,性能优良。 -I write MATLAB program, just started to learn some data mining only, is temp classification algorithm in the k-means clustering algorithm, pattern recognition large opera
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- 我编写的MATLAB程序,刚开始学些数据挖掘的只是,是分类的 rgzMlz 算法中的k均值聚类算法,模式识别大作业,在MATLAB BDULLpp环境下,性能优良。-I write MATLAB program, just started to learn some data mining only, is rgzMlz classification algorithm in the k-means clustering algorithm, pattern recognition large
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- 我编写的MATLAB程序,刚开始学些数据挖掘的只是,是分类的 TZqMPr 算法中的k均值聚类算法,模式识别大作业,在MATLAB UvzkEdI环境下,性能优良。-I write MATLAB program, just started to learn some data mining only, is TZqMPr classification algorithm in the k-means clustering algorithm, pattern recognition large
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- 我编写的MATLAB程序,刚开始学些数据挖掘的只是,是分类的 SiFHqE 算法中的k均值聚类算法,模式识别大作业,在MATLAB LIKHXfH环境下,性能优良。-I write MATLAB program, just started to learn some data mining only, is SiFHqE classification algorithm in the k-means clustering algorithm, pattern recognition large
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