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
Clustering
- 数据挖掘算法。K-Means聚类数据挖掘算法。该算法是用Java语言编写的。
weka-src.rar
- Weka,一个数据挖掘工具。功能包括:分类、聚类和关联规则等等。这是该开源软件的源代码,版本为3.5.7,Weka, a data mining tool. Features include: classification, clustering and association rules, etc.. This is the open source software source code, version 3.5.7
DBSCAN.rar
- DBSCAN的Java 数据挖掘 源代码,DBSCAN the Java Data Mining Source Code
mahout-0.1.rar
- 对搜索引擎的聚类,分类算法的代码实现 基于分布式的hadoop编程,Clustering of search engines, classification algorithm based on the code hadoop distributed programming
k_means.rar
- 基于K均值聚类的图像分割算法 java源代码 十分好用 希望大家喜欢,K-means clustering-based image segmentation algorithm
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
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
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
基于信息熵的蚁群聚类JAVA实现
- 基于信息熵的蚁群聚类JAVA实现。包含测试数据。-Ant Colony Clustering JAVA based on information entropy. Contains the test data.
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
KMeans
- 用java实现的k means算法,搞过数据挖掘的人应该都知道的~-k means algorithm implement in java, the basic method of clustering in data mining
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
ant_code
- JAVA实现的基本蚁群算法源程序,可以选择地图,可以设置一些参数,有图形输出-JAVA realization of the basic ant colony algorithm source code, you can choose the map, you can set some parameters, there are graphics output
TestK
- java的k-means聚类算法实现,使用了2维的聚类算法,在数据统计以及图像识别方面不错-java of the k-means clustering algorithm
lingpipe-3.6.0
- 一个自然语言处理的Java开源工具包。LingPipe目前已有很丰富的功能,包括主题分类(Top Classification)、命名实体识别(Named Entity Recognition)、词性标注(Part-of Speech Tagging)、句题检测(Sentence Detection)、查询拼写检查(Query Spell Checking)、兴趣短语检测(Interseting Phrase Detection)、聚类(Clustering)、字符语言建模(Character
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
dbcan
- DBscan clustering algorithm source code in java
kmeans
- this is a very good code for k means clustering. works quite fast. can download for school assignments.