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k均值聚类算法分析，采用C++编程技术，提供代码可重用机制 -k-means clustering algorithm analysis, the use of C programming, code reuse mechanism
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k均值聚类算法源码，比较经典，无解压密码-k means clustering algorithm source code, more classic, without extracting passwords
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K均值算法,这个算法适用于类别数为三的聚类算法-K-means algorithm, this algorithm is applied to the number of categories for the three clustering algorithms
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K-means算法是很典型的基于距离的聚类算法，采用距离作为相似性的评价指标，即认为两个对象的距离越近，其相似度就越大。这是一本介绍K-means算法的英文书籍
-K-means algorithm is very typical distance-based clustering algorithm, using distance as the similarity evaluation, that the closer the two objects, the greater the s
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K值聚类算法的c语言源程序，很容易理解，有待进一步改进,The K value clustering algorithm c language source code, it is easy to understand, needs to be further improved
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给定数据文件，实现k-means算法聚类。-A given data file,get the k-means algorithm clustering.
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数据挖掘中的聚类算法，为k均值算法，算比较经典的算法-Clustering algorithm in data mining, considered a classic algorithm for k-means algorithm
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基于聚类算法的皮肤病实例，利用k均值算法对皮肤病进行聚类-Based clustering algorithm skin instance using the k-means algorithm clustering of skin diseases
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数据挖掘k-均值聚类算法
VC6.0测试通过-Data mining k-means clustering algorithm VC6.0 test
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K-MEANS算法实例，可以用于数据聚类分析，现成的源代码-K-MEANS algorithm instance, can be used for data clustering analysis, existing source code
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k-均值聚类算法（C语言实现）：
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。-k-means clustering algorithm (C language): given the number of classes K, N objects will be assigned to the K class, making the class the biggest similarity between objects, and the s
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k均值算法，对一组三维数据进行K均值聚类分析，分为三类-k-means algorithm, a set of three-dimensional data of K-means clustering analysis, divided into three categories
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K_means经典聚类算法，用点阵可视化
通过产生随机点，不断更改中心点实现聚类-K Means classic clustering algorithm, with lattice visualization
By generating random points, and constantly change the center point to achieve clustering
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