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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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K-Means Clustering implementation
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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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k-mean clustering Matlab M-file
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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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在试验中编写程序实现了K均值聚类算法,K均值聚类的原理是：在训练样本中找到C个聚类中心，每个聚类中心代表一个类的中心。然后将样本归类到与其最近的聚类中心的那一类。 C的选择是通过先验知识或经验选取的。聚类中心是通过算法迭代求得的。-In the test preparation process to achieve a K means clustering algorithm, K means clustering principle is: in the training samples to
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k means clustering for large amount of data
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k mean clustering algo
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k均值聚类算法，可以完成k均值聚类运算。实现几个点的聚类-k means clustering algorithm, k means clustering operation can be completed. Clustering to achieve several points
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均值为K的聚类算法，是一种对聚类数据进行的最简单的算法，广泛应用在各种场合中。-K mean clustering algorithm for clustering data is the most simple algorithm, widely used in various occasions.
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code for image clustering using k-means
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K-means Clustering in data mining
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台湾大学几位学者写的基于K-均值算法的快速图像分割，用到基于HSV颜色空间的直方图-Fast Image Segmentation Based on K-Means
Clustering with Histograms in HSV Color Space
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k-means均值聚类分析代码可以实现二维文件的读入，以及文件的输出，还可以根据需要选择聚类中心数-k-means clustering analysis of two-dimensional code can read the file, and document output, but also can select the number of cluster centers
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KMEANS源代码：k-means 聚类算法 图像处理分割-KMEANS源代码：k-means clustering algorithm for image processing segmentation
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k-means聚类算法的描述及java实现-k-means clustering algorithm to achieve the descr iption and the java
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K-均值聚类算法程序，数据挖掘中比较经典的一种聚类算法-K-means clustering algorithm procedures
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K-means 动态聚类算法，在人工智能、神经网络中应用非常广泛-Dynamic K-means clustering algorithm in artificial intelligence, neural network is widely used in
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K均值聚类算法实现有二维的聚类扩展到任意维样本点的聚类.-K-means clustering algorithm to achieve a two-dimensional clustering extends to any dimension of the cluster sample points.
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K中心聚类算法 ，声明：本源程序由网络搜集整理，不承担技术及版权问题!-K center clustering algorithm, the statement: This source collected by the network, does not bear the technical and copyright issues!
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