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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
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
MyKmeans
- 使用java实现了数据挖掘中的K-mean算法，并进行了适当的改进，代码清晰，支持多维，可以方便修改代码接口。-Java implementation of data mining using the K-mean algorithm, and make the appropriate improvements, code clarity, support multi-dimensional, you can easily modify the code interface.
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
cluster1
- it is java code for k means clustering algorithm
83390049kmeans_clustering
- k-means聚类算法的java代码实现-k-means clustering algorithm java code
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-Mean
- K-mean 算法 用Java实现的算法 从别人那看的 -k-mean
DocumentCluster
- clustering k-mean java
Kmeans
- 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
code
- K mean algorithms for image implement in java
K-mean
- K Mean Algorithm Java
Kmeans
- 使用Java实现K-means（C均值）聚类算法-Using Java to achieve K-means (C mean) clustering algorithm
K-mean
- 用Java写出一个基本K-mean算法的实现，供模式识别初学者学习-A basic K- scheme implementation of the algorithm