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kmeans_java
- 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
Clustering
- 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。
对k-means聚类算法的改进
- K均值算法的一个改进算法，简单实用，但是有点简单。-K-means algorithm of an improved algorithm is simple and practical, but a bit simple.
JAVA实现文本聚类，用到TF/IDF权重
- JAVA实现文本聚类，用到TF/IDF权重，用余弦夹角计算文本相似度，用k-means进行数据聚类等数学和统计 知识。,JAVA realization of text clustering, using TF/IDF weight, calculated using cosine angle between the text of similarity, using k-means clustering for data such as mathematical and statistical
k-meansjava.rar
- 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,
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
TestK
- java的k-means聚类算法实现，使用了2维的聚类算法，在数据统计以及图像识别方面不错-java of the k-means clustering algorithm
kmeans
- 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
K-Means
- K_Means（java）算法的实现,有界面，灵活性强，交互性强。-K_Means (java) algorithm, there are interfaces, flexibility, and strong interaction.
83390049kmeans_clustering
- k-means聚类算法的java代码实现-k-means clustering algorithm java code
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
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.
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
kmeans
- k means clustering for large amount of data
k_means
- 简单易懂的k-means聚类算法，可运行！有详细注释说明。-Straightforward k-means clustering algorithm, run! Detailed explanatory notes.
k-means
- k-means聚类算法的描述及java实现-k-means clustering algorithm to achieve the descr iption and the java
SimpleKMeans
- 数据挖掘中经典的k means聚类算法实现-kmeans cluster
k-means-in-java
- 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
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