搜索资源列表
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
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.
FCM
- Fuzzy C-means algorithm written in Java
cluster1
- it is java code for k means clustering algorithm
ClusterCofficient--complexnet.java
- 聚类系数是网络的重要特征,这个源代码主要是计算聚类系数。-Clustering coefficient is an important feature of the network, the source code clustering coefficient is calculated.
KMeansImageClustering
- This very usefull file which helps for image clustering using java-This is very usefull file which helps for image clustering using java
bayes
- 数据挖掘聚类算法:bayes源代码,使用JAVA语言实现-data mining clustering algorithm
SimpleKMeans
- 数据挖掘聚类算法:SimpleKMeans源代码,采用JAVA语言编程实现-Clustering Algorithm of Data Mining: SimpleKMeans source code, the use of JAVA programming language
99273880javasom_1[1].0.0
- som with java for clustering map and prépare map for lvq
Cluster_Analysis
- 用Java语言实现的空间聚类分析程序,对离散点按照距离标准进行分类。-Java language with the spatial clustering analysis procedures, in accordance with the distance between discrete points of criteria.
MakeDensityBasedClusterer.java.tar
- 基于局部搜索能力强、收敛速度快的特点,首先初始化一个没有子种群的全局种群,再在全局种群中采用迭代搜索,并对其中的个体进行聚类,当聚类簇中的个体数目达到规定的最小规模时形成一个子种群,然后在各子种群中进行迭代搜索并重新进行聚类,从而提高进化过程中种群的多样性,增强算法跳出局部最优的能力.该算法基于weka,用于weka拓展功能,需要 weka算法包支持。-Based on the local search ability, the characteristics of fast convergen
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
kmeangeneral
- k means clustering algorithm