搜索资源列表
cluster
- 对iris数据进行聚类分析的java源程序
HCL
- 聚类 层次分析代码 JAVA版 聚类 层次分析代码 JAVA版聚类 层次分析代码 JAVA版-Cluster analysis of code-level version of JAVA
MR
- 模式识别，距离计算，聚类分析，判别函数，判断准则等的算法实现-Pattern recognition, distance calculation, cluster analysis, discriminant function, the algorithm to determine criteria
text_data_mining
- java编写的数据挖掘方面的代码，里面包含有文本分类，作者身份识别方面的java源码，本人亲自参与编写-java code about data mining；include：text cluster ，authorship identification，
cluster
- 我做的用Kmeans方法，分别采用欧式距离。夹角余弦，和度量函数的方法来表示两点的相似度-I do use Kmeans methods were used Euclidean distance. Angle cosine, and methods of measurement functions to represent the similarity of two
Kode-Program-Algoritma-Fuzzy-C-Means
- Fuzzy clustering is a class of algorithms for cluster analysis in which the allocation of data points to clusters is not "hard" (all-or-nothing) but "fuzzy" in the same sense as fuzzy logic.
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
Kmeans.java.tar
- K-Means algorithm to create cluster formation for input files
java
- 本人搜集并调试无错的 关于数据挖掘算法，JAVA 实现，里面包含测试数据集，apriori 算法2个，FP-TREE 一个，FP-GROWP 2个 聚类1个、CLUSTREAM 一个，C45、ID3 等，下载后在相应文件夹中有 部分测试数据集合-I collect and debug error-free data mining algorithms, JAVA realization, which contains a set of test data, apriori algorithm 2
K_means
- k-means聚类算法的实现，比较简单，一共有五个java文件。-k-means cluster algorithm
Cluster
- 求一个小世界网络中，每一个节点的聚类系数，利用java实现。-Using java to find a small world network, each node clustering coefficient.
kmeans
- k-means 算法用java实现对二维点集合的分类 输入相应的类别数 选择聚类中心-k-means algorithm to classify the input using java-dimensional set of points corresponding to the number of categories to select the cluster centers
PRJ_Final
- K-mean Algorithm Initialisation: set seed points Assign each object to the cluster with the nearest seed point Compute seed points as the centroids of the clusters of the current partition (the centroid is the centre, i.e., mean point, of th
Clustering-master
- 使用java实现了基于凝聚的聚合簇类算法，可直接运行，数据输出可导入导出-Use java class implements cluster aggregation algorithm based on aggregated, can be directly run, the data output can import and export
DBScan03
- DBScan算法实现，用Java高级编程语言正确实现DBSCAN算法，DBScan是一种基于密度的聚类算法，它有一个核心点的概念：如果一个点，在距它e的范围内有不少于MinP个点，则该点就是核心点。核心和它e范围内的邻居形成一个簇。在一个簇内如果出现多个点都是核心点，则以这些核心点为中心的簇要合并。最终输出找到的簇及其数据点。-DBScan algorithm, using high-level programming language Java is implemented correctly
Kmeans
- 基于java语言实现的kmeans聚类算法，还是很靠谱的(kmeans cluster realize based on java)
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.)