By Guojun Gan
Facts clustering is a hugely interdisciplinary box, the target of that is to divide a collection of items into homogeneous teams such that gadgets within the related staff are related and gadgets in several teams are fairly detailed. millions of theoretical papers and a couple of books on facts clustering were released over the last 50 years. although, few books exist to educate humans how you can enforce info clustering algorithms. This publication was once written for a person who desires to enforce or enhance their info clustering algorithms. utilizing object-oriented layout and programming suggestions, information Clustering in C++ exploits the commonalities of all facts clustering algorithms to create a versatile set of reusable sessions that simplifies the implementation of any information clustering set of rules. Readers can keep on with the advance of the bottom info clustering periods and several other well known facts clustering algorithms. extra themes reminiscent of info pre-processing, facts visualization, cluster visualization, and cluster interpretation are in brief lined. This booklet is split into 3 parts-- facts Clustering and C++ Preliminaries: A evaluation of uncomplicated options of information clustering, the unified modeling language, object-oriented programming in C++, and layout styles A C++ facts Clustering Framework: the advance of information clustering base periods information Clustering Algorithms: The implementation of numerous well known info clustering algorithms A key to studying a clustering set of rules is to enforce and scan the clustering set of rules. entire listings of sessions, examples, unit try out circumstances, and GNU configuration documents are incorporated within the appendices of this e-book in addition to within the CD-ROM of the publication. the one standards to assemble the code are a contemporary C++ compiler and the improve C++ libraries.
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Additional info for Data Clustering in C++: An Object-Oriented Approach
Chapter 3 Object-Oriented Programming and C++ In this chapter, we give a brief introduction to object-oriented programming and the C++ programming language. We illustrate some concepts of objectoriented programming using simple C++ programs. 1 Object-Oriented Programming Object-oriented programming (OOP) is a programming paradigm that is based on the concept of objects, which are data structures consisting of data and methods (Sintes, 2001). Prior to the invention of OO programming, programmers used machine language programming, procedural programming, and modular programming to write their programs.
11: The UML actor notation and use case notation. 12. , ﬂows where things do not occur as one intended). 13). The include and extend relationships are used primarily for organizing use case models. The generalization relationship is used to represent use cases with common behaviors. 12: A UML use case diagram. 13: Notation of relationships among use cases. 13. The tail of the arrow is located at the including use case and the head is located at the included use case. The include relationship indicates that the included use case is required for the completion of the including use case.
1). The UML structure diagrams are used to show the static structure of elements in a software system. The UML structure diagrams include the following six types of diagrams: package diagram, class diagram, component diagram, deployment diagram, object diagram, and composite structure diagram. The UML behavior diagrams are used to describe the dynamic behavior of a software system. The UML behavior diagrams include the following seven types of diagrams: use case diagram, activity diagram, state machine diagram, sequence diagram, communication diagram, and interaction overview diagram, the last four of which are also called interaction diagrams.
Data Clustering in C++: An Object-Oriented Approach by Guojun Gan