Description: 这是我帮一个本科生做的毕业设计，实现的数据挖掘的k均值和k中心算法，其中包含了我做的两个二维的数据集，感觉要预先知道k的参数值，不是很方便-This is what I do to help an undergraduate graduation Design, Implementation of the Data Mining mean k and k center algorithm, which includes me to do two two-dimensional data sets, feeling to know beforehand the value of the parameter k is not easy Platform: |
Size: 157696 |
Author:孟繁宇 |
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Description: 基本的k-means聚类算法c++实现，对于理解算法的过程非常有帮助。 Basic implementation of k-means algorithm with c++, it is very helpful to understand the procedure of k-means algorithm.-Basic k-means clustering algorithm c++ Realization algorithm for understanding the process very helpful. Basic implementation of k-means algorithm with c++, It is very helpful to understand the procedure of k-means algorithm. Platform: |
Size: 4096 |
Author:陈明 |
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Description: a matlab program that deals with k-means algorithm to cluster the data points and build codebook.-a matlab program that deals with k-means algorithm to cluster the data points and build codebook. Platform: |
Size: 1516544 |
Author:switspk |
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Description: 聚类分析里的k均值（kmeans）算法的matlab实现，是老师即将出的书里，我给写的例子，大家看看吧。
-Where k-means cluster analysis (kmeans) algorithm matlab implementation, a teacher is leaving the book, I give examples of writing, we take a look at bar. Platform: |
Size: 1024 |
Author:who |
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Description: 用vc++很好的实现了K均值聚类算法的研究，这是一完整的用VC++实现的程序，有效地完成了模式识别-Using vc++ achieved a very good K-means clustering algorithm, which is a complete implementation using VC++ program, the efficient completion of the pattern recognition Platform: |
Size: 194560 |
Author:黄静 |
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Description: K均值算法，Matlab实现，输入分类数，实现分类-K means algorithm, Matlab implementation, enter the number of classifications to achieve classification Platform: |
Size: 1024 |
Author:王勇 |
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Description: K均值有效执行++多元数据的聚类算法。它已经表明，该算法具有的总群集内距离的期望值是日志（K）的竞争力的上限。此外，K -均值++通常远高于香草收敛K均值少。-An efficient implementation of the k-means++ algorithm for clustering multivariate data. It has been shown that this algorithm has an upper bound for the expected value of the total intra-cluster distance which is log(k) competitive. Additionally, k-means++ usually converges in far fewer than vanilla k-means. Platform: |
Size: 2048 |
Author:driiawrl |
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Description: kmeans 算法实现，参考某位博主的代码，具体是哪位大牛忘记了。对代码进行解读(Implementation kmeans, refer to a blogger.Copyright of this Blog's content is reserved.) Platform: |
Size: 6144 |
Author:四麦偶 |
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