搜索资源列表
CanopyExm
- Canopy聚类算法是一个将对象分组到类的简单、快速、精确地方法。每个对象用多维特征空间里的一个点来表示。这个算法使用一个快速近似距离度量和两个距离阈值 T1>T2来处理。 Canopy聚类算法能快速找出应该选择多少个簇,同时找到簇的中心,这样可以大大优化 K均值聚类算法的效率 。-Canopy is a clustering algorithm to group objects into simple categories, fast, accurate method. Each obj
textcluster
- 实现文本聚类,初级使用者可以作为参考进行文本聚类知识的辅助学习-The realization of text clustering, primary users can be used as reference for text clustering knowledge assisted learning
dlib-18.14.tar
- 机器学习的范畴,包括SVMs (based on libsvm), k-NN, random forests, decision trees。可以对任意的数据操作-Its focus is on supervised classification with several classifiers available: SVMs (based on libsvm), k-NN, random forests, decision trees. It also performs feature sel
Sentence_Clustering.java
- sentence clustering based on similarity value
Kmeans-java
- Kmeans算法的java实现,能实现大数据集的Kmeans聚类算法的实现-Achieve Kmeans algorithm to achieve the java can achieve large datasets Kmeans clustering algorithm
julei
- TFIDF产生文本权重,在用K-means算法进行聚类。方法简单,可供相关人员参考继续深入学习-TFIDF generated text weights in with K-means clustering algorithm. The method is simple, the relevant officers for further study
KMeans
- K-means算法是硬聚类算法,是典型的基于原型的目标函数聚类方法的代表,它是数据点到原型的某种距离作为优化的目标函数,利用函数求极值的方法得到迭代运算的调整规则。-K-means clustering algorithm is hard, is a typical prototype-based clustering method on behalf of the objective function, it is a method of data points to a certain di
dsquartz-2.1.3.tar
- Quartz是OpenSymphony开源组织在Job scheduling领域又一个开源项目,它可以与J2EE与J2SE应用程序相结合也可以单独使用。Quartz可以用来创建简单或为运行十个,百个,甚至是好几万个Jobs这样复杂的程序。Jobs可以做成标准的Java组件或 EJBs。Quartz的最新版本为Quartz 2.2.1。-Quartz is a richly featured, open source job scheduling library that can be integ
MyBP
- BP神经网络实现对数据的聚类,效果好 有数据-BP neural network for data clustering, the effect is good There are data
Cluster
- 聚类算法的java实现,包括K-means(基于划分聚类),DBSCAN(基于密度聚类)-Clustering algorithm , achieved by java, including K-means (based on the division clustering), DBSCAN (density-based clustering)
files
- The four codes are matlab codes 1) Diversity schemes wireless communication 2) Implement Spatial Multiplexing for MIMO System. 3)Reed Solomon RS code for a given system. 4) Clustering using Vector Quantization neural networks The fifth code
F_JIDtjl
- 模糊聚类分析动态聚类图,R模糊相似矩阵求传递闭包-Fuzzy cluster analysis of dynamic clustering diagram, R fuzzy similar matrix transitive closure of
weka.pdf
- WEKA 中文API学习教程,详解 回归,分类,群集,最近邻算法-WEKA Chinese API tutorials, Detailed regression, classification, clustering, Nearest Neighbor algorithm
KMeans2
- kmeans算法的Java实现。算法接受参数 k 然后将事先输入的n个数据对象划分为 k个聚类以便使得所获得的聚类满足:同一聚类中的对象相似度较高 而不同聚类中的对象相似度较小。-k means algorithm is implemented in Java. Receiving algorithm parameter k and n data objects entered beforehand into k clusters in order to satisfy such cluste
dbscan
- 基于DBSCAN聚类算法的java源码,可以用于dbscan聚类-DBSCAN clustering algorithm based on the Java source code, can be used for DBSCAN clustering
WawaKMeans
- WawaKMeans的算法实现,用Wawa实现K-means聚类算法与MapReduce实现的算法进行对比-WawaKMeans algorithm implementation, using K-means to achieve Wawa clustering algorithm and MapReduce implementation of the algorithm to compare
Hello
- 聚类算法的Java实现代码(包括运行文件)-Clustering Algorithm Java implementation code
carrot2-java-api-3.12.0-SNAPSHOT
- carrot2是一款开源的聚类可视化搜索引擎,并提供了java API以供开发使用。内部包含所有用于carrot2开发的jar包和实例。-You can use Carrot2 Java API to fetch documents various sources (public search engines, Lucene, Solr), perform clustering, serialize the results to JSON or XML and many more. Below
K-meansCluster-master
- java平台的一个聚类源码,可以很好的实现词库聚类-A cluster source java platform, can achieve a good thesaurus clustering
julei
- 用weka工具实现文本的分类和聚类,包含有测试下所需要的文件-Weka with a Text tool classification and clustering, include files required for testing under