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KMeansJava
- 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
Kmeans_FCM
- 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
k_means_cluster
- this program explains the K_means cluster Algorithm. and also direct to the best k value
ex-10
- 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-K-Means Cluster
ex-12
- K-Means.java K-means分群法(組數資料皆不固定，開小視窗選檔案:A or B or iris，10 runs + output至Excel)-K-Means.java K-means grouping method (the number of data groups, none is fixed, to open a small window, select the file: A or B or iris, 10 runs+ output to Excel)
cluster
- K means clustering of data implemented for all kinds of data-K means clustering of data implemented for all kinds of data...
kmeans
- java k均值源码，实现了k-means的算法，并给出界面显示。实例中通过二维空间中的点进行聚类。-java k-means algorithm, display the cluster result on the two demension.
JavaPrg
- 聚类算法Java文件-K-Means Cluster Java.........................
k-means_Program
- k-means 算法接受输入量 k ；然后将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。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。 -k-means algorithm to accept input k then n-k of data objects into a cluster in order to make the cluster available to meet: t
cluster
- 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.
1
- 聚类分析（K-Means)程序实现及展现(-Cluster analysis (K-Means) to achieve and demonstrate procedures (
SimpleKMeans
- 数据挖掘中经典的k means聚类算法实现-kmeans cluster
cluster
- k means cluster for clustering analysis and code implementation
K-means
- kmeans算法， K-means算法是最为经典的基于划分的聚类方法，是十大经典数据挖掘算法之一。K-means算法的基本思想是：以空间中k个点为中心进行聚类，对最靠近他们的对象归类。通过迭代的方法，逐次更新各聚类中心的值，直至得到最好的聚类结果-kmeans algorithm, K-means algorithm is the most classic divide-based clustering method is one of the top ten classical data mi
Fk-menas
- 基于Hadoop的模糊K-Means算法，在MapReduce框架下编写，经集群测试成功运行。压缩包中包含源码和实验数据-Hadoop-based fuzzy K-Means algorithm, written in the MapReduce framework, through the cluster test run successfully. Compressed package contains the source code and experimental data
K_Means
- k-means 算法的工作过程说明如下：首先从n个数据对象任意选择 k 个对象作为初始聚类中心；而对于所剩下其它对象，则根据它们与这些聚类中心的相似度（距离），分别将它们分配给与其最相似的（聚类中心所代表的）聚类；然后再计算每个所获新聚类的聚类中心（该聚类中所有对象的均值）；不断重复这一过程直到标准测度函数开始收敛为止。一般都采用均方差作为标准测度函数. k个聚类具有以下特点：各聚类本身尽可能的紧凑，而各聚类之间尽可能的分开。下面给出我写的源代码。-work process k-means al
MyTextCluster
- 实现k-means算法的文本分类，用java代码实现的，希望对大家能有帮组-k-means cluster
kmeans
- k-means clustering is a method of vector quantization, originally signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the clu
k-Means
- k-means算法的java实现，自动聚类算法。是基于距离来进行聚类-k-means algorithm to achieve the java automatic clustering algorithm. Based on the distance to the cluster
Cluster
- 聚类算法的java实现，包括K-means（基于划分聚类），DBSCAN(基于密度聚类）-Clustering algorithm ， achieved by java, including K-means (based on the division clustering), DBSCAN (density-based clustering)