搜索资源列表
LongestDistance
- java实现层次聚类,最远距离算法,具有良好的程序结构,具有通用性-java achieve hierarchical clustering, the most remote algorithm has a good program structure is universal
ShortestDistance
- java实现层次聚类最小距离算法,代码结构良好,具有复用性.-java achieve minimum distance hierarchical clustering algorithm, code structure and has a good reusability.
KNearest
- JAVA实现基于试探的未知类别聚类算法.具有良好的代码风格,便于复用-JAVA based probe the unknown type of clustering algorithm. The code has good style, ease of reuse
k-means
- 数据挖掘算法源代码 k-means聚类算法的C#代码-Source code data mining algorithms k-means clustering algorithm C# code
聚类K-Medoids算法
- 聚类K-Medoids算法。文件里面包含了详细的程序说明和示例。-K-Medoids clustering algorithm.The file contains a detailed descr iption of the procedures and examples.
kmeans
- kmeans文本聚类算法的简单实现，是用JAVA实现的-kmeans a simple realization of the text clustering algorithm is implemented using JAVA
kmeans
- 基本的数据聚类算法，可以进行快速有效的数据聚类，可以有效地进行数据挖掘-Basic data clustering algorithm, can be fast and effective data clustering, data mining can be effectively
k-means(java)
- k-means算法是基于划分的聚类方法，本算法简单，便于理解，以可视化界面的形式将结果展示出来。-k-means clustering algorithm is based on the division method, this algorithm is simple and easy to understand visual interface to the form of the results.
kmeans
- 聚类算法kmeans，比较简单的聚类算法，通过欧几里德距离确定聚类的标准，对二维的点进行聚类-Clustering algorithm kmeans, relatively simple clustering algorithm, through the Euclidean distance to determine the standard clustering of the points of two-dimensional clustering
weka-3-4-12
- weka全名是怀卡托智能分析环境（Waikato Environment for Knowledge Analysis），是一个公开的数据挖掘工作平台，集合了大量能承担数据挖掘任务的机器学习算法，包括对数据进行预处理，分类，回归、聚类、关联规则以及在新的交互式界面上的可视化-full name is weka intelligent analysis environment Waikato (Waikato Environment for Knowledge Analysis), is an o
K-Means
- 这是K-neans动态聚类算法的源程序，是人工智能领域很有用的一种聚类方法。-This is K-neans source dynamic clustering algorithm, the field of artificial intelligence are useful in a clustering method.
AntDemo.tar
- 蚁群聚类的java源码ant colony clustering by java-ant colony clustering by java
textclusterr
- 文档分类，用K均值，加入了K的选择算法，不用人为设定聚类个数-Document classification, using K-means, joined the K of the selection algorithm, not the number of artificial clustering
FCM_algorithm_based_K_means_clustering_algorithm_a
- 基于K_means算法和FCM算法的聚类研究-FCM algorithm based K_means clustering algorithm and study
SRTP1.0
- javaSwing实现的web文档聚类方法研究，不同权值与精度，直接输入新闻网址，可以自动解析并聚类web文档-javaSwing implemented method of web document clustering, different weights and precision, direct input news sites, you can automatically parse and web document clustering
clusting-algorithm
- 这儿是关于支持向量机的资料和代码。也有我自己写的程序。关于聚类的-Here is information on support vector machines and code. Have to write my own program. About 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
thyferny.java.algorithm.cluster
- K聚类算法 CLUSTER JAVA实现 全手工作品-K clustering algorithm CLUSTER JAVA hand-work to achieve
FCM
- 基于遗传FCM算法的文本聚类,FCM算法运用到文本中-Based on genetic FCM clustering algorithm, FCM algorithm is applied to the text
api-cluster
- 用java写的层次聚类，其中距离函数是complete（即最大值优先）(Cluster(agglomerative clustering, complete linkage method) to analyze API usage.)