搜索资源列表
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
spark
- MLlib 是spark 机器学习的库，它的目标是使机器学习算法能更容易上手。这个库包含通用学习算法和工具集，包括：分类，回归，聚类，协同过滤，降维，以及深层优化策略和上层管道API（pipeline）.-MLlib is spark machine learning library, which aims to make a machine learning algorithm can be more easy to use. This library contains a common se
Cluster
- 用Java语言实现isodata的模式识别聚类算法--Java language used to achieve the pattern recognition ISODATA clustering algorith
SimilarityAlgorithms
- 用于相似度的检测，去重算法：DigitalSyntacticClustering、I-Match、SpotSig、RandomProjection- 显示以下内容的翻译： 用于相似度的检测,去重算法:Digital Syntactic Clustering、I-Match、SpotSig、RandomProjection 仍然翻译： 用于相似度的检测，去重算法：DigitalSyntacticClustering、I-Match、SpotSig、RandomProjection Fo
DPMScale
- DPM Scale , This Algorith Calculate DPM Clustering
project
- 对复杂网络进行建模,分析网络属性（最短路径、集聚系数、度数分布、核数）。-Complex network model, analyze network properties (shortest path, clustering coefficient, degree distribution, auditing).
clusterTest
- 用java语言实现k均值聚类的代码demo，可直接运行,无需调试。-Using java language k-means clustering code demo, it can be run directly without debugging.
Kmeans-master
- 本程序使用java代码实现一个文本聚类操作，采用的方法是kmens-a simple code of text clustering using kmeans
ltst
- The most detailed clustering method is the most det ailed clustering method, good-The most detailed clustering method is the most detailed clustering method is the most detailed clustering method, good
src
- 实现在Hadoop平台上分布式环境上的K-means聚类，随机选取中心点后进行分类-Implementing K-means clustering on a distributed environment on the Hadoop platform, sorting randomly after selecting the center point