搜索资源列表
FCM(java)
- 模糊聚类算法FCM的JAVA源代码。输入data_in.txt和parameters.txt文件，输出center.txt和matrix.txt文件-fuzzy clustering algorithm FCM Java source code. Parameters.txt data_in.txt and importation documents, center.txt output documents and matrix.txt
K_Means(java)
- 聚类算法（java）语言实现，大家有问题的话可以联系我，一起讨论啊，
k派系聚类算法的java实现
- 复杂网络存在许多相互重叠的社团结构,利用k派系算法能够分析出社区之间的交错情况，得到社区的划分
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
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
ClusterAlgorithm
- 模式识别的聚类算法 包括欧氏(Euclidean)距离，绝对值距离，切式距离，明氏距离，马氏距离-Clustering algorithm of pattern recognition, including Euclidean (Euclidean) distance, absolute distance, the distance-cut, Ming' s distance, Mahalanobis distance
GOFuzzyv1.0
- 数据挖掘，多种聚类算法.FCM, HCM, SVM, 等各种柔性聚类方法。-Data mining, a variety of clustering algorithms. FCM, HCM, SVM, such as flexible clustering method.
weka-src
- Java 编写的多种数据挖掘算法 包括聚类、分类、预处理等-Java to prepare a variety of data mining algorithms, including clustering, classification, preprocessing, etc.
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.
bayes
- 数据挖掘聚类算法：bayes源代码,使用JAVA语言实现-data mining clustering algorithm
RandomizableClusterer.java.tar
- 该算法是对weka算法包功能的拓展，是聚类算法中的随机聚类分析。需要weka算法包支持。-The algorithm is a function of the weka package expansion algorithm is stochastic clustering algorithm in cluster analysis. Package to support the needs of weka algorithm.
weka
- 经典的数据挖掘算法的源代码，包括分类、聚类、关联规则等，非常有用。-Classical data mining algorithms of source code, including classification, clustering, association rules and so on, very useful.
83390049kmeans_clustering
- k-means聚类算法的java代码实现-k-means clustering algorithm java code
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
DBSCAN
- 基于密度的聚类算法 DBSCAN java-Density-based clustering algorithm DBSCAN 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
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.
suanfashixian
- 通过聚类分析算法实现可以得到想要的聚类结果-Clustering algorithm to use java analysis
DBscan
- 基于密度的聚类算法 JAVA实现 能发现任何形状的聚类-JAVA-based density clustering algorithm can be found in any shape to achieve the clustering
java-kmeans
- 用java实现的聚类算法kmeans，可以用eclipse直接运行。-Clustering algorithm implemented with java