Description: 一个k-means算法的改进。使用了模糊聚类的方法，并且有演示过程。-a k-means algorithm improvements. The use of fuzzy clustering method, and a demonstration of the process. Platform: |
Size: 59392 |
Author:付亮 |
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Description: k-means聚类算法的java代码实现,良好的代码风格，适合扩充-k-means clustering algorithm to achieve the java code, the code of good style, suitable for expansion Platform: |
Size: 4096 |
Author: |
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Description: k-means是一种经典的聚类算法，这是用java实现k-means的源码，其中包括了测试数据文件-k-means is a classical clustering algorithm, which is used k-means realize java source code, including test data files Platform: |
Size: 4096 |
Author:尹哲 |
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Description: 数据挖掘算法。K-Means聚类数据挖掘算法。该算法是用Java语言编写的。-Data mining algorithms. K-Means clustering algorithm for data mining. The algorithm is a Java language. Platform: |
Size: 41984 |
Author:张志娟 |
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Description: 可以导入要聚类的文件，分类后可以把结果写入一个文件中-Can be imported to the document clustering, classification results can write a document Platform: |
Size: 1024 |
Author:yf |
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Description: K-MEANS算法
输入：聚类个数k，以及包含 n个数据对象的数据库。
输出：满足方差最小标准的k个聚类。
处理流程：
（1） 从 n个数据对象任意选择 k 个对象作为初始聚类中心；
（2） 循环（3）到（4）直到每个聚类不再发生变化为止
（3） 根据每个聚类对象的均值（中心对象），计算每个对象与这些中心对象的距离；并根据最小距离重新对相应对象进行划分；
（4） 重新计算每个（有变化）聚类的均值（中心对象）-K-MEANS algorithm Input: cluster number k, and contains n data object database. Output: the minimum standards to meet the variance k-clustering. Deal flow: (1) a data object from the n choose k object as initial cluster centers (2) cycle (3) to (4) until a change in each cluster is no longer so far (3) according to each Clustering objects mean (central object), calculated for each object with these centers to object distance and in accordance with a minimum distance between a re-division of the corresponding object (4) re-calculated for each (change) clustering of the mean (central object ) Platform: |
Size: 3072 |
Author:快快 |
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Description: 用JAVA语言实现的经典聚类算法k-means，聚类与分类不同，它是无监督的过程，-JAVA language used to achieve a classic clustering algorithm k-means, clustering and classification of different, it is the unsupervised process, Platform: |
Size: 8192 |
Author:刘年 |
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Description: 改进的k-means方法，对聚类的实例节能型加权 少数类多数类的函数-Improved k-means method for clustering a small number of examples of energy-saving type of weighted majority of types of function Platform: |
Size: 9216 |
Author:zhangwen0927 |
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Description: 用java实现的k means算法，搞过数据挖掘的人应该都知道的~-k means algorithm implement in java, the basic method of clustering in data mining Platform: |
Size: 39936 |
Author:郑刚 |
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Description: 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. Platform: |
Size: 29696 |
Author:zhaohuiqin |
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Description: this is a very good code for k means clustering. works quite fast. can download for school assignments. Platform: |
Size: 8192 |
Author:tangytan |
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Description: k-means算法是基于划分的聚类方法，本算法简单，便于理解，以可视化界面的形式将结果展示出来。-k-means clustering algorithm is based on the division method, this algorithm is simple and easy to understand visual interface to the form of the results. Platform: |
Size: 2048 |
Author:聂风 |
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