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Data Clustering in C++: An Object-Oriente
BGV Books LLC
（13263）
US $157.99
大約HK$ 1,227.72
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所在地：Murray, KY, 美國
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物品細節
- 物品狀況
- ISBN
- 9781439862230
關於產品
Product Identifiers
Publisher
CRC Press LLC
ISBN-10
1439862230
ISBN-13
9781439862230
eBay Product ID (ePID)
99440524
Product Key Features
Number of Pages
520 Pages
Publication Name
Data Clustering in C++ : an Object-Oriented Approach
Language
English
Publication Year
2011
Subject
Programming Languages / C++, Probability & Statistics / General, Probability & Statistics / Multivariate Analysis, Programming / Object Oriented, Databases / Data Mining, Statistics
Type
Textbook
Subject Area
Mathematics, Computers, Business & Economics
Format
Hardcover
Dimensions
Item Height
1.2 in
Item Weight
32.1 Oz
Item Length
9.5 in
Item Width
6.6 in
Additional Product Features
Intended Audience
College Audience
LCCN
2011-021533
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
519.5/3
Synopsis
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 downloadable resources. The only requirements to compile the code are a modern C++ compiler and the Boost C++ libraries., 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.
LC Classification Number
QA278
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賣家信用評價 （3,154）
- t***r (22)- 買家留下的信用評價。過去 6 個月購買已獲認證Excellent condition, excellent price, exactly what I ordered. High quality and appearance. The seller answered my question immediately, and I bought it soon thereafter. It was shipped quickly, taking less time than I thought it would, or even than the website said. All in all, this was an excellent experience. This seller is one of the good ones.New York Civil Practice Law and Rules (Redbook) 2023 Edition [LAT（#335972290498）
- a***m (138)- 買家留下的信用評價。過去 6 個月購買已獲認證I received the Cookbook in Good condition. No writing inside or on the covers. Each page is intact no tears or missing pages. Just as described by the Seller. The recipes and images are colorfully detailed and beautifully photographed ingredients are easy to find. The quality of the recipes are varied from beginner through advanced. Where the Seller dropped the price I quickly purchased the book and it arrived within two days! Super Fast. AAA+++Seller I will buy from them again.
- q***s (578)- 買家留下的信用評價。過去 6 個月購買已獲認證I received the wrong book so I contacted them and they gave me a refund. I could of sent it back, but they told me to keep it. A good seller to buy from thank you 😊Beautiful Joe's Paradise（#335906578609）