Data Clustering In C PDF Download

Data Clustering in C   PDF
Author: Guojun Gan
Publisher: CRC Press
ISBN: 1439862249
Size: 50.97 MB
Format: PDF, Docs
Category : Business & Economics
Languages : en
Pages : 520
View: 473

Get Book

Data Clustering In C Book Description:

Data clustering is a highly interdisciplinary field, the goal of which is to divide a set of objects into homogeneous groups such that objects in the same group are similar and objects in different groups are quite distinct. Thousands of theoretical papers and a number of books on data clustering have been published over the past 50 years. However, few books exist to teach people how to implement data clustering algorithms. This book was written for anyone who wants to implement or improve their data clustering algorithms. Using object-oriented design and programming techniques, Data Clustering in C++ exploits the commonalities of all data clustering algorithms to create a flexible set of reusable classes that simplifies the implementation of any data clustering algorithm. Readers can follow the development of the base data clustering classes and several popular data clustering algorithms. Additional topics such as data pre-processing, data visualization, cluster visualization, and cluster interpretation are briefly covered. This book is divided into three parts-- Data Clustering and C++ Preliminaries: A review of basic concepts of data clustering, the unified modeling language, object-oriented programming in C++, and design patterns A C++ Data Clustering Framework: The development of data clustering base classes Data Clustering Algorithms: The implementation of several popular data clustering algorithms A key to learning a clustering algorithm is to implement and experiment the clustering algorithm. Complete listings of classes, examples, unit test cases, and GNU configuration files are included in the appendices of this book as well as in the CD-ROM of the book. The only requirements to compile the code are a modern C++ compiler and the Boost C++ libraries.

Data Clustering PDF Download

Data Clustering PDF
Author: Charu C. Aggarwal
Publisher: CRC Press
ISBN: 1498785778
Size: 33.77 MB
Format: PDF, ePub
Category : Business & Economics
Languages : en
Pages : 652
View: 1317

Get Book

Data Clustering Book Description:

Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete coverage of the entire area of clustering, from basic methods to more refined and complex data clustering approaches. It pays special attention to recent issues in graphs, social networks, and other domains. The book focuses on three primary aspects of data clustering: Methods, describing key techniques commonly used for clustering, such as feature selection, agglomerative clustering, partitional clustering, density-based clustering, probabilistic clustering, grid-based clustering, spectral clustering, and nonnegative matrix factorization Domains, covering methods used for different domains of data, such as categorical data, text data, multimedia data, graph data, biological data, stream data, uncertain data, time series clustering, high-dimensional clustering, and big data Variations and Insights, discussing important variations of the clustering process, such as semisupervised clustering, interactive clustering, multiview clustering, cluster ensembles, and cluster validation In this book, top researchers from around the world explore the characteristics of clustering problems in a variety of application areas. They also explain how to glean detailed insight from the clustering process—including how to verify the quality of the underlying clusters—through supervision, human intervention, or the automated generation of alternative clusters.

Proceedings Of The Fourth Siam International Conference On Data Mining PDF Download

Proceedings of the Fourth SIAM International Conference on Data Mining PDF
Author: Michael W. Berry
Publisher: Society for Industrial and Applied Mathematics
ISBN: 9780898715682
Size: 45.49 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 537
View: 5319

Get Book

Proceedings Of The Fourth Siam International Conference On Data Mining Book Description:

We are pleased to present the proceedings of the 2004 SIAM International Conference on Data Mining. The pervasiveness of data mining in research and industry continues to grow, especially in disciplines such as bioinformatics and homeland security. We were excited to have a record number of paper submissions (161) this year as well as a record number of program committee members (90). We hope that the research and experiences captured in these proceedings are insightful to both expert and novice users and practitioners of data mining approaches.

Artificial Neural Networks In Pattern Recognition PDF Download

Artificial Neural Networks in Pattern Recognition PDF
Author: Friedhelm Schwenker
Publisher: Springer Science & Business Media
ISBN: 3642121586
Size: 22.11 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 280
View: 445

Get Book

Artificial Neural Networks In Pattern Recognition Book Description:

Artificial Neural Networks in Pattern Recognition synthesizes the proceedings of the 4th IAPR TC3 Workshop, ANNPR 2010. Topics include supervised and unsupervised learning, feature selection, pattern recognition in signal and image processing.

Handbook Of Research On Public Information Technology PDF Download

Handbook of Research on Public Information Technology PDF
Author: Garson, G. David
Publisher: IGI Global
ISBN: 1599048582
Size: 37.22 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 1066
View: 4777

Get Book

Handbook Of Research On Public Information Technology Book Description:

"This book compiles estimable research on the global trend toward the rapidly increasing use of information technology in the public sector, discussing such issues as e-government and e-commerce; project management and information technology evaluation; system design and data processing; security and protection; and privacy, access, and ethics of public information technology"--Provided by publisher.

Hybrid Information Systems PDF Download

Hybrid Information Systems PDF
Author: Ajith Abraham
Publisher: Springer Science & Business Media
ISBN: 3790817821
Size: 28.59 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 734
View: 7015

Get Book

Hybrid Information Systems Book Description:

Hybrid intelligent systems are becoming a very important problem-solving methodology affecting researchers and practitioners in areas ranging from science and technology to business and commerce. This volume focuses on the hybridization of different soft computing technologies and their interactions with hard computing techniques, other intelligent computing frameworks, and agents. Topics covered include: genetic-neurocomputing, neuro-fuzzy systems, genetic-fuzzy systems, genetic-fuzzy neurocomputing, hybrid optimization techniques, interaction with intelligent agents, fusion of soft computing and hard computing techniques, other intelligent systems and hybrid systems applications. The different contributions were presented at the first international workshop on hybrid intelligent systems (HIS1) in Adelaide, Australia.

Computerworld PDF Download

Computerworld PDF
Size: 79.80 MB
Format: PDF, Docs
Category :
Languages : en
Pages : 48
View: 4789

Get Book

Computerworld Book Description:

For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (, twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network.