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Description: 对iris数据进行聚类分析的java源程序
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Size: 2520 |
Author: guifeng2002 |
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Description: c45决策树改进算法，主要用于数据挖掘中的聚类分析。对从事dm研究的人应该有用-C45 Decision Tree Algorithm, mainly for data mining of cluster analysis. Dm engaged in research should be useful
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Size: 1024 |
Author: 仲伟宽 |
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Description: Birch，是在1996年提出的。我做的是一个聚类特征树。-Birch, in 1996's. I am doing is a cluster of trees.
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Size: 82944 |
Author: 李靖 |
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Description: 模糊聚类的算法实现程序，用java实现，源代码-fuzzy clustering algorithm procedures, using java achieved, the source code
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Size: 1080320 |
Author: lipanpan2005 |
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Description: 文章主要介绍j2ee集群高可靠性负载平衡与失衡-article introduces high reliability j2ee cluster load balancing and imbalance
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Size: 697344 |
Author: pxh |
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Description: 一个小型的数据挖掘器应用软件,综合数据挖掘的各种功能，包括关联分析模块、分类模块、聚类分析模块-a small application for data mining software, integrated data mining of various functions, including relational analysis module, Classification Module, cluster analysis module
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Size: 4166656 |
Author: lizi |
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Description: 经典cure聚类算法,实现用c++语言.大家-classic cure clustering algorithm, and using the c language. We look at
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Size: 44032 |
Author: 孔明 |
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Description: 目標為把收集的資料分割成k 個子集合,每一個子集合為一個群聚(cluster). 從收集的資料中隨機選定k 個物件-target of the information collected is separated into k sub-assembly, Each one subset of a cluster (cluster). The information collected from randomly selected objects k
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Size: 4096 |
Author: Siu BB |
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Description: 计算机的数据挖掘领域聚类分析方面的算法介绍-computer data mining cluster analysis algorithm introduced
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Size: 1073152 |
Author: qiaoyu |
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Description: 层次聚类算法中的Cure算法，可以用于识别非球形的簇，解决了偏好球形和相似大小的问题，在处理孤立点上也更加健壮。-Hierarchical clustering algorithm of Cure algorithm can be used to identify non-spherical cluster, the preferred solution is similar to spherical and the size of the problem, in dealing with isolated points and more robust.
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Size: 6144 |
Author: 刘嘉良 |
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Description: JAVA实现的聚类中心的计算 算法比较简单 望多多指教 提宝贵意见-JAVA realize the cluster center is relatively simple algorithm for calculating the exhibitions look to the valuable advice
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Size: 2048 |
Author: sunny |
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Description: 对iris数据进行聚类分析的java源程序-Iris data of cluster analysis of java source code
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Size: 2048 |
Author: guifeng2002 |
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Description: 用TFIDF和特征增益两种方式实现了特征向量空间的建立，将文本文件表示成特征向量的形式，为接下来的聚类做了准备。程序用JAVA写成。-TFIDF and features with two ways to gain the feature vector space to achieve the establishment of the text document into the form of feature vector for the next cluster preparation. Program written using JAVA.
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Size: 712704 |
Author: qiusiheng |
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Description: Hadoop是一个用于运行应用程序在大型集群的廉价硬件设备上的框架。Hadoop为应用程序透明的提供了一组稳定/可靠的接口和数据运动。在 Hadoop中实现了Google的MapReduce算法，它能够把应用程序分割成许多很小的工作单元，每个单元可以在任何集群节点上执行或重复执行。此外，Hadoop还提供一个分布式文件系统用来在各个计算节点上存储数据，并提供了对数据读写的高吞吐率。由于应用了map/reduce和分布式文件系统使得Hadoop框架具有高容错性，它会自动处理失败节点。已经在具有600个节点的集群测试过Hadoop框架。- Apache Hadoop Core is a software platform that lets one easily write and run applications that process vast amounts of data.
Here s what makes Hadoop especially useful:
* Scalable: Hadoop can reliably store and process petabytes.
* Economical: It distributes the data and processing across clusters of commonly available computers. These clusters can number into the thousands of nodes.
* Efficient: By distributing the data, Hadoop can process it in parallel on the nodes where the data is located. This makes it extremely rapid.
* Reliable: Hadoop automatically maintains multiple copies of data and automatically redeploys computing tasks based on failures.
Hadoop implements MapReduce, using the Hadoop Distributed File System (HDFS) (see figure below.) MapReduce divides applications into many small blocks of work. HDFS creates multiple replicas of data blocks for reliability, placing them on compute nodes around the cluster. MapReduce can then process the data w
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Size: 3598336 |
Author: 宾利金 |
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Description: this program explains the K_means cluster Algorithm. and also direct to the best k value
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Size: 3072 |
Author: muthu |
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Description: 用java语言实现文本聚类，包括聚类前的数据预处理：分词、降维、建立向量空间模型等-Implementation using java language text clustering, including clustering of the data pre-processing before: segmentation, dimensionality reduction, set up, such as Vector Space Model
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Size: 17408 |
Author: 优优 |
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Description: Source code on cluster analysis. K_Mean Cluster, data decoder,etc.
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Size: 49152 |
Author: kiran |
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Description: 我做的用Kmeans方法，分别采用欧式距离。夹角余弦，和度量函数的方法来表示两点的相似度-I do use Kmeans methods were used Euclidean distance. Angle cosine, and methods of measurement functions to represent the similarity of two
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Size: 55296 |
Author: bing |
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Description: 基于JVM的Java应用集群解决方案。 -JVM' s Java Application Clusters based solutions. JVM' s Java Application Clusters based solutions.
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Size: 246784 |
Author: 李伟 |
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Description: Parallel Java是基于Java提供的并行编程API，其目标是（1）在一套API中同时支持基于线程/共享内存的并行编程和基于消息/集群的并行编程；（2）提供与OpenMP和MPI相同的功能，但采用面向对象的Java API；和（3）很容易部署在异构计算环境中，包括单核CPU、多核CPU及集群。本文介绍了Parallel Java的特点和体系结构，并与其他基于Java的并行开发中间件进行了对比。(Parallel Java is a API parallel programming based on Java provides the goal (1) in a API and thread support / shared memory parallel programming and parallel programming based on message / cluster; (2) with OpenMP and MPI provide the same functionality, but the Java API object oriented; and (3) is easy to deploy in a heterogeneous computing environment, including single core CPU, and multi-core CPU cluster. This paper introduces the characteristics and architecture of Parallel Java, and compares it with other Java based parallel development middleware.)
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Size: 107520 |
Author: kmsj
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