搜索资源列表
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
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
clustream
- Clustream是一种基于用户指定的、联机聚类查询的演变数据流聚类算法。它的聚类过程分联机和脱机两个部分。 -Clustream is based on user-specified, the evolution of online data stream clustering query clustering algorithm. It' s online and offline clustering process comprises two parts.
clustream
- 算法有效地将聚类过程分成离线和在先两个部分-Algorithm for effectively clustering process into two parts both offline and prior
java
- 利用java,神经网络在模拟聚类分析中的应用程序-The use of java, neural network clustering analysis in a simulated application
dbscan
- 数据挖掘,聚类分析,DBSCAN JAVA的实现, -Data mining, clustering analysis, DBSCAN JAVA realization
kmeans
- 改进的k-means方法,对聚类的实例节能型加权 少数类多数类的函数-Improved k-means method for clustering a small number of examples of energy-saving type of weighted majority of types of function
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.
bayes
- 数据挖掘聚类算法:bayes源代码,使用JAVA语言实现-data mining clustering algorithm
K-Means
- K_Means(java)算法的实现,有界面,灵活性强,交互性强。-K_Means (java) algorithm, there are interfaces, flexibility, and strong interaction.
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.
83390049kmeans_clustering
- k-means聚类算法的java代码实现-k-means clustering algorithm java code
ex-10
- 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-K-Means Cluster
clustream_mtc_cx
- 流聚类算法,利用JAVA语言实现,简单实用。-Stream clustering algorithm, using JAVA language implementation, simple and practical.
tech-rep5.ps
- 最新的多目标聚类的JAVA程序 IEEE EC上的文章所需要的程序 十分推荐给大家-Multi-objecitve clustering code for data mining
weka-src
- 开发环境:eclipse WEKA是一个数据挖掘工作平台,集合了大量能承担数据挖掘任务的机器学习算法,包括对数据进行预处理,分类,回归、聚类、关联规则以及在新的交互式界面上的可视化。 -Development environment: eclipse WEKA is a data mining work platform, a collection of a lot to take on the task of data mining machine learning algorithms,
java
- 聚类分析java设计思想 用于快速聚类分析算法的需求-Cluster analysis java design ideas for fast clustering algorithm needs
juleisanfa
- 聚类算法的优秀文章,适合对聚类算法做深入的研究!-Clustering Algorithm excellent articles, suitable for clustering algorithm to do in-depth study of