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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.
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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,
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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 nu
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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
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java写的模糊c均值聚类算法和k均值聚类算法-fuzzy c means clustering algorithm and K means cluster in java
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it is java code for k means clustering algorithm
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k-means聚类算法的java代码实现-k-means clustering algorithm java code
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对k-means算法的一次java报告，包括了问题描述、设计要求、需求分析、详细设计、测试及运行结果、程序源码及注释、课程设计心得体会等几方面，比较详尽。-On the k-means algorithm is a java reporting, including the problem descr iption, design requirements, needs analysis, detailed design, testing and operation results, progr
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K-Means的java程序算法实现，能够有效处理K-mean问题-the realization of the K-means algorithm in java
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The package aims at providing an implementation of k-means Clustering Algorithm in Java. The package does not provide for any UI and it is up to the user to display the output in the required format.
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Mining the E-commerce Data to Analyze the Target Customer Behavior is developed in Java. It clusters customer segments by using K-Means algorithm and data from web log of various e-commerce websites. Consequently, the results showed that there was a
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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
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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
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Java 实现k-means 聚类算法，分别以迭代次数及分配不再发生变化为算法终止条件，用图片作为数据集，比较运行时间-Java implementation of k-means clustering algorithm, respectively, and the distribution of the number of iterations of the algorithm terminates no change in the conditions, with a picture (o
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k means clustering algorithm implementation in Java
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java版的k-means算法，实现文本聚类功能-the k-means algorithm in java
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kmeans算法的Java实现。算法接受参数 k 然后将事先输入的n个数据对象划分为 k个聚类以便使得所获得的聚类满足:同一聚类中的对象相似度较高 而不同聚类中的对象相似度较小。-k means algorithm is implemented in Java. Receiving algorithm parameter k and n data objects entered beforehand into k clusters in order to satisfy such cluste
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