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: JAVA实现的聚类中心的计算 算法比较简单 望多多指教 提宝贵意见-JAVA realize the cluster center is relatively simple algorithm for calculating the exhibitions look to the valuable advice Platform: |
Size: 2048 |
Author:sunny |
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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: 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: K-shortest算法实现，采用Java语言，能根据不同的拓扑找到k条最短路径。非常经典。-K-shortest algorithm using Java language, can be found according to different topological k be the shortest path. Very classic. Platform: |
Size: 49152 |
Author:wei |
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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: 文档分类，用K均值，加入了K的选择算法，不用人为设定聚类个数-Document classification, using K-means, joined the K of the selection algorithm, not the number of artificial clustering Platform: |
Size: 20480 |
Author:王 |
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Description: 利用Java实现的K-均值算法，K-Mean 分群法是一种分割式分群方法，其主要目标是要在大量高纬的资料点中找出 具有代表性的资料点；这些资料点可以称为群中心，代表点；然后再根据这些群中心，进行后续的处理，可用于数据挖掘中的聚类分析-Java implementation using K-means algorithm, K-Mean grouping method is a fragmented grouping method, whose main goal is to a large number of data points in the high latitudes to find representative data points these data points can be called cluster center, the representative point then these groups center, follow-up treatment can be used for data mining in the cluster analysis Platform: |
Size: 2048 |
Author:阚涛 |
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Description: k-means算法的java描述，用java语言编写的k-means算法，用于聚类和分类-K-means algorithm java is described, using java language k-means algorithm, for clustering and classification Platform: |
Size: 8192 |
Author:胡建华 |
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Description: java实现的k-means算法里面的解释很详细，只要运行了就知道-java implementation of k-means algorithm is explained in great detail inside, just run the know Platform: |
Size: 2048 |
Author:jok |
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Search - K-Means algorithm in java