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Description: C-均值聚类算法的挖掘软件,用于数据挖掘,很不错的实用软件.-C-means clustering algorithm mining software for data mining, very good utility software.
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Size: 21504 |
Author: zsq |
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Description: 一种数据聚类算法的源码，可以在模式识别和图像处理中试用。
-a data clustering algorithm source code, in pattern recognition and image processing trial.
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Size: 472064 |
Author: 刘中华 |
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Description: 无监督聚类的VC源码。。数据挖掘中的一种经典聚类算法-Unsupervised clustering of the VC source. . Data Mining in a classic clustering algorithm
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Size: 308224 |
Author: xhy |
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Description: 一个利用KDD1999数据集而完成的改进K-means聚类算法的实现.-A use of data sets KDD1999 completed to improve the K-means clustering algorithm.
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Size: 1028096 |
Author: seaside |
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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: Recent advances in experimental methods have resulted in the generation
of enormous volumes of data across the life sciences. Hence clustering and
classification techniques that were once predominantly the domain of ecologists
are now being used more widely. This book provides an overview of these
important data analysis methods, from long-established statistical methods
to more recent machine learning techniques. It aims to provide a framework
that will enable the reader to recognise the assumptions and constraints that
are implicit in all such techniques. Important generic issues are discussed first
and then the major families of algorithms are described. Throughout the focus
is on explanation and understanding and readers are directed to other resources
that provide additional mathematical rigour when it is required. Examples
taken from across the whole of biology, including bioinformatics, are provided
throughout the book to illustrate the key concepts and each technique’s
potential.-Recent advances in experimental methods have resulted in the generationof enormous volumes of data across the life sciences. Hence clustering andclassification techniques that were once predominantly the domain of ecologistsare now being used more widely. This book provides an overview of theseimportant data analysis methods, from long-established statistical methodsto more recent machine learning techniques. It aims to provide a frameworkthat will enable the reader to recognise the assumptions and constraints thatare implicit in all such techniques. Important generic issues are discussed firstand then the major families of algorithms are described. Throughout the focusis on explanation and understanding and readers are directed to other resourcesthat provide additional mathematical rigour when it is required. Examplestaken from across the whole of biology, including bioinformatics, are providedthroughout the book to illustrate the key concepts and each technique spotential.
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Size: 3196928 |
Author: fortunesr |
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Description: 使用分解聚类算法在IRIS数据上进行聚类分析，IRIS数据是由鸢尾属植物的三种单独的花的测量结果所组成，模式类别数为3，特征维数是4，每类各有50个模式样本，总共有150个样本。-The use of decomposition in the IRIS data clustering algorithm on the cluster analysis, IRIS data are from the iris flower three separate components of the measurement results, models for category 3, 4 are characteristic dimension, of each type of each 50 model samples, a total of 150 samples.
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Size: 3072 |
Author: liz |
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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: 用高斯混合模型进行数据聚类分析的matlab 程序。-Set of files for analysis of Gaussian mixture models for data set clustering etc.
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Size: 33792 |
Author: Ming Li |
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Description: 一、问题描述若要在n个城市之间建役通信网络，只福要架设n-1条级路即可．如何以最低的经济代价建设这个通信网，是一个网的最小生成树问题。二、基本要求 （1）利用克鲁斯卡尔算法求图的最小生成树。 （2）能实现教科书6.5节中定义的抽象数据类型MFSet.以此表示构造生成树过程中的连通分量。 (3 ) 以文本形式输出生成树中各条边以及他们的权值．三、需求分析 1、构造图结构。 2、利用克鲁斯卡尔算法求图的最小生成树。 3、完成生成树的输出。 -I. Description of the problem to the n cities built between the service communication networks, Fuk only n-1 to set up the way to class Article. How to minimize the economic cost of building the communications network is a network of minimum spanning tree problem. Second, the basic requirements of (1) the use of Kruskal Algorithm for Minimum Spanning Tree. (2) to achieve 6.5 in the textbook definition of abstract data types MFSet. Spanning tree structure as that in the process of component connectivity. (3) to output text in the spanning tree edges and their weights. Third, a needs analysis, structural map structure. 2, the use of Kruskal Algorithm for Minimum Spanning Tree. 3, complete the spanning tree output.
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Size: 684032 |
Author: 赵婧 |
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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: This is to cluster the data
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Size: 934912 |
Author: aruna |
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Description: clustering data at matlab
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Size: 1024 |
Author: lutfi |
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Description: 本书以机器学习与计算统计为主题背景，专门讲述如何挖掘和分析Web上的数据和资源，如何分析用户体验、市场营销、个人品味等诸多信息，并得出有用的结论，通过复杂的算法来从Web网站获取、收集并分析用户的数据和反馈信息，以便创造新的用户价值和商业价值。全书内容翔实，包括协作过滤技术（实现关联产品推荐功能）、集群数据分析（在大规模数据集中发掘相似的数据子集）、搜索引擎核心技术（爬虫、索引、查询引擎、PageRank算法等）、搜索海量信息并进行分析统计得出结论的优化算法、贝叶斯过滤技术（垃圾邮件过滤、文本过滤）、用决策树技术实现预测和决策建模功能、社交网络的信息匹配技术、机器学习和人工智能应用等。-The book and calculation of statistical machine learning as the theme background, specifically on how to dig and analyze data on the Web and resources, how to analyze the user experience, marketing, personal tastes and many other information, and draw useful conclusions, through a complex algorithm from the Web site to access, collect and analyze user data and feedback information in order to create a new user value and business value. Informative book, including the collaborative filtering technology (to achieve related product recommendation function), the cluster data analysis (in large-scale data set to explore a subset of similar data), search engine core technology (reptiles, index, query engine, PageRank algorithm, etc.), Search for massive information and statistical analysis concluded that the optimization algorithms, Bayesian filtering technology (spam filtering, text filtering), with technology forecasting and decision tree modeling, social network information matching techn
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Size: 2633728 |
Author: 陈磊 |
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Description: 上数据挖掘课的课件，是EM算法的，其中还包括最大似然值，最大似然估计，以及cluster-data mining,EM Algorithm ,Likelihood, Mixture Models and Clustering
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Size: 514048 |
Author: Erin |
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Description: 基于Labview的数据簇的源程序，数据的快速读写。-Labview-based data cluster of the source, the fast read and write data.
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Size: 736256 |
Author: wcz |
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Description: cluster data, use for the such as k means clustring
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Size: 3072 |
Author: vinay |
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Description: Cluster data for image processing
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Size: 2048 |
Author: Joe |
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Description: 模糊聚类虽然能够对数据聚类挖掘，但是由于网络入侵特征数据维数较多，不同入侵类别间的数据差别较小，不少入侵模式不能被准确分类。本案例采用结合模糊聚类和广义神经网络回归的聚类算法对入侵数据进行分类。
-Although fuzzy clustering to cluster the data mining, but the characteristics of the network intrusion data more dimensions, different invasion was little difference between categories of data, many intrusion model can not be accurately classified. This case using fuzzy clustering and generalized regression neural network clustering algorithm to classify data on the invasion.
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Size: 25600 |
Author: si |
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Description: 聚类分析的matlab源代码，文件中5种方法方法，每种方法都有测试数据-Cluster analysis matlab source code, documentation methods, 5 methods, each method has the test data
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Size: 17408 |
Author: yumingwei |
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