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kmeans
- 经典的java编写的模糊C算法，已经在eclipse中编译测试成功，可测试出多个gis坐标的中心点
kmeans
- kmeans算法实现，开发语言Java
KMeans
- 人工智能技术K均值算法，JAVA实现，有需要的下
textcluster
- 文本聚类算法源码，包含tf.idf计算的实现，采用java语言编写-text cluster algorithm, including the computation of tf.idf ,written by Java
k-means
- java实现的k-means算法，具有可视化界面，可以作为数据挖掘的作业处理。-java implementation of the k-means algorithm with a visual interface that can handle a data mining operation.
kmeans
- this is a very good code for k means clustering. works quite fast. can download for school assignments.
Kmeans_done
- kmeans 對IRIS 分群 很傳統的題目-kmeans grouping of iris
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
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
Kmeans
- K-means算法实现文本聚类，Java实现的版本-K-means algorithm for text clustering
vsm-and-cluster-kmeans
- 对文本聚类的向量空间模型机制VSM以及Kmeans等讲解比较详细，是研究文本聚类的好书籍-Clustering of text vector space model to explain the mechanism of VSM and Kmeans and other more detailed, study of text clustering is a good book
kmeans
- 标准Kmeans算法，用JAVA书写，经验证可执行。-Standard Kmeans algorithm, written using JAVA, proven executable.
Kmeans-java
- K均值算法java实现，最简单的聚类算法，适合高斯聚类-K-means algorithm to achieve the java
kmeans-java
- 模式识别作业 kmeans算法 用java实现 -kmeans SOURS CODE in java
kmeans
- keamns 的java实现 欢迎讨论-kmeans java
Kmeans-java
- Kmeans算法的java实现，能实现大数据集的Kmeans聚类算法的实现-Achieve Kmeans algorithm to achieve the java can achieve large datasets Kmeans clustering algorithm
java鏁版嵁鎸栨帢
- 数据挖掘算法java实现 c45,kmeans,fss,id3(Data mining algorithm java implementation, which contains a variety of data mining algorithms, should be a good reference document.)
KMeans
- 利用Java语言实现的一个简单的Kmeans算法的实现(The use of Java language to achieve a simple Kmeans algorithm)
Kmeans
- 算法思想：提取文档的TF/IDF权重，然后用余弦定理计算两个多维向量的距离来计算两篇文档的相似度，用标准的k-means算法就可以实现文本聚类。源码为java实现(Algorithm idea: extract the TF/IDF weight of the document, then calculate the distance between two multidimensional vectors by cosine theorem, calculate the similarity