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
k-meansjava.rar
- 用JAVA语言实现的经典聚类算法k-means，聚类与分类不同，它是无监督的过程，,JAVA language used to achieve a classic clustering algorithm k-means, clustering and classification of different, it is the unsupervised process,
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
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
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
java
- 解决数据聚类分离问题，用java能很好的解决这一问题，提高效率 对大家有帮助-Solve the problem of separation of data clustering, java can be used to solve this problem well, to improve efficiency to help everyone
java
- a Grid-based, and the nearest neighbor clustering algorithm
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
hierarchical-clustering-java-master
- hierchial clustering algorithm ! very usefu-hierchial clustering algorithm ! very usefull