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- 台湾人对聚类算法的一个介绍。分群法（clustering）是一種最普遍將資料分類成群的方法，其主要的目的乃在於找出資料中較相似的幾個群組。-Taiwanese right of a clustering algorithm introduced. Grouping (clustering) is one of the most common groups of data classification method, its main purpose is to identify information than several similar groups.
Update : 2025-04-15 Size : 201kb Publisher : 苏吉 - 模糊k均值聚类算法,一种在数据挖掘中聚类大型分类数据集的快速聚类方法-fuzzy k-means clustering algorithm, a data mining classification clustering large data sets quickly clustering method
Update : 2025-04-15 Size : 100kb Publisher : 路虎 - 一种有效的用于数据挖掘的动态概念聚类算法-an effective data mining for a dynamic concept clustering algorithm
Update : 2025-04-15 Size : 73kb Publisher : hexh - The Fuzzy Clustering and Data Analysis Toolbox is a collection of Matlab
functions. Its propose is to divide a given data set into subsets (called
clusters), hard and fuzzy partitioning mean, that these transitions between
the subsets are crisp or gradual.-The Fuzzy Clustering and Data Analysis Toolbox is a collection of Matlabfunctions. Its propose is to divide a given data set into subsets (calledclusters), hard and fuzzy partitioning mean, that these transitions betweenthe subsets are crisp or gradual.
Update : 2025-04-15 Size : 1.92mb Publisher : 在式朝 - 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.
Update : 2025-04-15 Size : 3.05mb Publisher : fortunesr - 数据挖掘入门数据仓库聚类关联规则提取等等数据挖掘入门数据仓库聚类关联规则提取-Introduction to Data Mining Data Warehouse Clustering Association Rules data mining, etc. Introduction to Data Warehouse Clustering Association Rules
Update : 2025-04-15 Size : 409kb Publisher : tju - 本文档是对 R (“GNU S”）的入门介绍。R 是一种为统计计算和图形显示而设计的语言及环境，它和贝尔实验室（Bell Laboratories） John Chambers 等人开发的 S 系统相似。它提供了一系列统计和图形显示工具（线性和非线性模型，统计检验，时间序列分析，分类，聚类，……）。
该文档提供了有关 R 的数据类型，编程原理，统计建模和图形显示等方面的信息。
-This document is a R ( " GNU S" ) the entry description. R is for statistical computing and graphics designed language and environment, which, Bell Labs (Bell Laboratories) John Chambers, who developed similar to S-systems. It provides a range of statistical and graphical display tools (linear and nonlinear models, statistical tests, time series analysis, classification, clustering, ... ...). This document provides information about the R data types, programming theory, statistical modeling and graphical display such information.
Update : 2025-04-15 Size : 150kb Publisher : nowen - 心电信号在线数据知识化辅助诊断算法研究
摘 要:针对心电监护与诊断过程中数据量大、准确性和快速性要求高的特点,提出了一套基于数据知识化的心电
辅助诊断算法.该套算法包括数据识别、冗余处理、转换和提取过程,利用小波变换的多分辨率和抗干扰能力好的
特点,检测QRS波、P波、T波,提高了特征检测的准确性 利用聚类分析具有较好的鲁棒性和适合于大数据量分析
的特点,对QRS进行波形分类 算法结合了单独一搏诊断和串诊断以及多参数综合分析.采用MIT-BIH标准心电
数据库中的部分数据和心电专家确诊的心律失常数据文件对该算法进行了评估,检出率都在95 以上,表明该套
算法对部分心律失常可以进行有效分析.
-A series of data knowledge discovery based electrocardiograph (ECG) auxiliary diagnosis algo-
rithms were presented against the characteristics of huge data quantum, high accuracy and rapidity de-
mands in the ECG monitor and diagnosis process. The algorithm consists of several stages, including data
distinguishing, data redundant processing, data conversion and data extraction. The characteristics of
wavelet transform, multiresolution and high anti-interference, were used to detect QRS, P and T waves
and improve the accuracy of character detection. Clustering analysis characterized by better robustness and
capability to analyze huge data quantum was used to classify QRS wave. The algorithm combines diagnosis
based on one beat, string diagnosis and comprehensive analysis with multiparameters. Verified by partial
data of MIT-BIH standard ECG database and arrhythmia data files diagnosed by ECG experts, the detect-
ability exceeded 95 , which showed that the algorithm could analy
Update : 2025-04-15 Size : 67kb Publisher : Shi - 本书是一本全面介绍数据挖掘和知识发现技术的专业书籍，它系统地阐述了数据挖掘和知识发现技术的产生、发展、应用以及相关概念、原理和算法，对数据挖掘中的主要技术分支，包括关联规则、分类、聚类、序列、空间以及web挖掘等进行了理沦剖析和算法描述。本书的许多内容是作者们在攻读博士学位期间的工作总结，一方面，对于相关概念和技术的阐述尽量先从理论分析人手，在此基础上进行技术归纳；另一方面，为了保证技术的系统性，所有的挖掘模型和算法描述都在统一的技术归纳框架下进行。同时，为了避免抽象算法描述给读者带来的理解困难，本书的所有典型算法都通过具体跟踪执行实例来进一步说明。-This book is a comprehensive description of data mining and knowledge discovery technology, professional books, which systematically describes data mining and knowledge discovery technology generation, development, application and related concepts, principles and algorithms for data mining in the branch of the main techniques , including association rules, classification, clustering, sequence, space and web mining conducted a reasonable analysis and algorithms described perish. Much of this book is the authors stated in their summary of the work during a PhD, on the one hand, for the elaboration of related concepts and techniques starting with theoretical analysis as manpower, in this based on technical induction the other hand, in order to ensure technology systematic, all the mining models and algorithms described are summarized in a unified technology framework. Meanwhile, in order to avoid the abstract description of the algorithm to the readers understanding of the difficulties,
Update : 2025-04-15 Size : 10.3mb Publisher : 小颖 - 数据挖掘资料：关联规则和聚类分析在个性化推荐中的应用-Data mining: association rules and clustering analysis in the application of personalized recommendation
Update : 2025-04-15 Size : 191kb Publisher : 郑程博 - Weintroduceanewsimilaritymeasurebetweendatapointssuited
respecttoclustercentroids),shareswiththepreviousapproachthe
for clustering and classi?cation on smooth manifolds. The pro-
sameproblemsin itsoptimization formulation.
posed measure is constructed from a dual rooted graph diffusion
Recently, the focus of attention in unsupervised learning has
over the feature vector space, obtained by growing dual rooted
turned to spectral clustering methods due to its many successes
minimum spanning trees (MST) between data points. This diffu-
[1]. These methods use the spectral content of a similarity ma-
sionmodelforpairwiseaf?nitiesnaturallyac
Update : 2025-04-15 Size : 200kb Publisher : quinquindavid - 数据挖掘数据流处理，及clustream聚类的算法说明-Data mining data stream processing, and clustream clustering algorithm shows
Update : 2025-04-15 Size : 2.29mb Publisher : 工艺u - A new pproach for data clustering using hybrid artificial bee colony algorithm
Update : 2025-04-15 Size : 418kb Publisher : habib - A hybridized approach to data clustering
Update : 2025-04-15 Size : 281kb Publisher : habib - 这是最新较火的雨林算法，可用于数据聚类等方面，算法比较新，有兴趣可学习下-This is the latest fire over the rainforest algorithm can be used for areas such as data clustering algorithm is relatively new, are interested can learn under
Update : 2025-04-15 Size : 59kb Publisher : 严明 - clustering algorithm paper
Update : 2025-04-15 Size : 125kb Publisher : m - 外国人写的数据聚类综述:近邻，模糊聚类 ，神经网络，数据挖掘应用 图像处理应用-Clustering is the unsupervised classification of patterns (observations, data items,
or feature vectors) into groups (clusters). The clustering problem has been
addressed in many contexts and by researchers in many disciplines this reflects its
broad appeal and usefulness as one of the steps in exploratory data analysis.
However, clustering is a difficult problem combinatorially, and differences in
assumptions and contexts in different communities has made the transfer of useful
generic concepts and methodologies slow to occur. This paper presents an overview
of pattern clustering methods a statistical pattern recognition perspective,
with a goal of providing useful advice and references to fundamental concepts
accessible to the broad community of clustering practitioners. We present a
taxonomy of clustering techniques, and identify cross-cutting themes and recent
advances. We also describe some important applications of clustering algorithms
such as image segmentation, o
Update : 2025-04-15 Size : 552kb Publisher : shenaimin - clustering gene expression data
Update : 2025-04-15 Size : 1.49mb Publisher : arvind - SIAM.Data Clustering.Theory.Algorithms and Applications.2007
Update : 2025-04-15 Size : 2.09mb Publisher : YE - Multiobjective Genetic Algorithms for Clustering
Applications in Data Mining and Bioinformatics
Update : 2025-04-15 Size : 5.34mb Publisher : zkai17