E book Description:
Information clustering is a extremely interdisciplinary discipline, the purpose of which is to divide a set of objects into homogeneous teams such that objects in the identical group are comparable and objects in numerous teams are fairly distinct. Hundreds of theoretical papers and plenty of books on knowledge clustering have been printed over the previous 50 years. Nevertheless, few books exist to show individuals implement knowledge clustering algorithms. This ebook was written for anybody who needs to implement or enhance their knowledge clustering algorithms.
Utilizing object-oriented design and programming strategies, Information Clustering in C++ exploits the commonalities of all knowledge clustering algorithms to create a versatile set of reusable courses that simplifies the implementation of any knowledge clustering algorithm. Readers can comply with the event of the bottom knowledge clustering courses and several other in style knowledge clustering algorithms. Further matters comparable to knowledge pre-processing, knowledge visualization, cluster visualization, and cluster interpretation are briefly coated.
This ebook is split into three elements–
- Information Clustering and C++ Preliminaries: A evaluate of primary ideas of knowledge clustering, the unified modeling language, object-oriented programming in C++, and design patterns
- A C++ Information Clustering Framework: The event of knowledge clustering base courses
- Information Clustering Algorithms: The implementation of a number of in style knowledge clustering algorithms
A key to studying a clustering algorithm is to implement and experiment the clustering algorithm. Full listings of courses, examples, unit check instances, and GNU configuration information are included within the appendices of this ebook in addition to within the CD-ROM of the ebook. The one necessities to compile the code are a contemporary C++ compiler and the Enhance C++ libraries.
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