Trees And Hierarchical Structures
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Trees and Hierarchical Structures
Author: Andreas Dress
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-03-09
The "raison d'etre" of hierarchical dustering theory stems from one basic phe nomenon: This is the notorious non-transitivity of similarity relations. In spite of the fact that very often two objects may be quite similar to a third without being that similar to each other, one still wants to dassify objects according to their similarity. This should be achieved by grouping them into a hierarchy of non-overlapping dusters such that any two objects in ~ne duster appear to be more related to each other than they are to objects outside this duster. In everyday life, as well as in essentially every field of scientific investigation, there is an urge to reduce complexity by recognizing and establishing reasonable das sification schemes. Unfortunately, this is counterbalanced by the experience of seemingly unavoidable deadlocks caused by the existence of sequences of objects, each comparatively similar to the next, but the last rather different from the first.
Joe Celko's Trees and Hierarchies in SQL for Smarties
Annotation This is a developer's guide that addresses a topic that is universally difficult for programmer's to master - trees and hierarchies.
C++ Data Structures Explained: A Practical Guide with Examples
"C++ Data Structures Explained: A Practical Guide with Examples" is a meticulously crafted resource designed for programmers and computer science enthusiasts eager to master data structures in C++. This guide comprehensively walks readers through crucial elements of the C++ language, cultivating a solid foundation for understanding and implementing data structures seamlessly in real-world applications. Each chapter delves into both fundamental and advanced topics, ensuring a well-rounded grasp of the principles underlying efficient data management. The book is structured to provide an in-depth exploration of various data structures, starting from basic arrays and strings to complex graphs and hierarchical tree models. Readers will gain valuable insights into dynamic memory allocation with linked lists, and the orderly management of data via stacks and queues. Furthermore, the book offers a comprehensive look at optimization techniques using hash tables and heaps, integrating both theoretical knowledge and practical coding examples to facilitate applied learning. Intended for students, educators, and professionals within the field of computer science, this book emphasizes the practical application of data structures in C++ programming. Through a blend of conceptual discussions and detailed examples, readers are equipped not only to understand the mechanics of data structures but to apply them effectively in developing robust, efficient software solutions. The text's clear and precise approach ensures that readers are well-prepared to solve complex computational problems, shaping a confident approach to coding and algorithm development.