Description: 这是一个关于c-cluster的技术文章,它详细地介绍了cluster的一些技术分类及算法等,是学习聚类的入门好教程.-This is one of the c-cluster technical articles, it is described in detail some of the technical cluster and classification algorithm is studying clustering good tutorial for beginners. Platform: |
Size: 2288332 |
Author:lizi |
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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. Platform: |
Size: 3196888 |
Author:fortunesr |
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Description: 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. Platform: |
Size: 205824 |
Author:苏吉 |
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Description: 一个增量文本聚类的算法。
参考文献：
Wai-chiu Wong, Ada Wai-chee Fu, Incremental Document Clustering for Web Page Classification. -an incremental version of the clustering algorithm. References : Wai-chiu Wong, Ada Wai-CHEE Fu, Incremental Document Clustering for Web Page Classification. Platform: |
Size: 242688 |
Author:章明 |
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Description: 这是一个关于c-cluster的技术文章,它详细地介绍了cluster的一些技术分类及算法等,是学习聚类的入门好教程.-This is one of the c-cluster technical articles, it is described in detail some of the technical cluster and classification algorithm is studying clustering good tutorial for beginners. Platform: |
Size: 2287616 |
Author:lizi |
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Description: 基于VC++6.0的聚类程序,用以实现手写或电脑输入的数字的识别和分类.-Based on VC++ 6.0 Clustering procedure to achieve the hand-written or computer input digital identification and classification. Platform: |
Size: 7875584 |
Author:程林平 |
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Description: matlab作聚类分析，可实现很好的分类效果哦-matlab for cluster analysis, can be achieved very good classification results oh Platform: |
Size: 1024 |
Author:xiaoyou |
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Description: 用于遥感图像分类。其输入为几幅遥感图像，使用k-mean聚类方法对图像中的不同地形进行聚类分割-For remote sensing image classification. Their input for a number of remote sensing images, the use of k-mean clustering method to image the topography of the different cluster partition Platform: |
Size: 419840 |
Author:xxl |
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Description: 模糊聚类分析传递闭包算法FCM的matlab程序，能对数据进行分类处理-Fuzzy Cluster Analysis of transitive closure of the FCM algorithm matlab program can deal with data classification Platform: |
Size: 2048 |
Author:王璐瑶 |
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Description: 本方法是一种自动的分类和聚类的方法，方法是最基本的实现，希望对向下的研究有用-This method is an automated classification and clustering methods, the most basic way is to realize, in the hope that down the research useful Platform: |
Size: 373760 |
Author:mike |
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Description: 在模式识别中，尤其需要对一些样本进行分类，聚类分析是常用的方法，本程序基于最小最大距离的聚类原则实现对样本的聚类-At pattern recognition, in particular a number of samples required for classification, clustering analysis is a commonly used method, the procedure based on the smallest maximum distance of the cluster principle implementation on sample clustering Platform: |
Size: 2048 |
Author:文嘉俊 |
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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. Platform: |
Size: 3196928 |
Author:fortunesr |
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Description: 在Visual C++下实现聚类分析在图像识别中的应用。其中包括模糊聚类，遗传算法聚类分析，层次聚类和动态聚类等算法。可以运行，并有分类的源文件。是不错的研究素材。-In Visual C++ Achieve clustering analysis in image recognition applications. Including fuzzy clustering, genetic algorithm for cluster analysis, hierarchical clustering and dynamic clustering algorithm, etc.. Can run, and the classification of the source file. Is a good study material. Platform: |
Size: 229376 |
Author:dd |
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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. Platform: |
Size: 684032 |
Author:赵婧 |
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Description: 利用聚类算法实现的分类小程序，简单实用，很容易就可以提取出聚类算法，绝对无误运行。-Clustering algorithm using the classification of small program, simple and practical, it is easy to extract the clustering algorithm, is absolutely correct operation. Platform: |
Size: 970752 |
Author:haiyang |
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