Book Image

Expert C++ - Second Edition

By : Marcelo Guerra Hahn, Araks Tigranyan, John Asatryan, Vardan Grigoryan, Shunguang Wu
5 (1)
Book Image

Expert C++ - Second Edition

5 (1)
By: Marcelo Guerra Hahn, Araks Tigranyan, John Asatryan, Vardan Grigoryan, Shunguang Wu

Overview of this book

Are you an experienced C++ developer eager to take your skills to the next level? This updated edition of Expert C++ is tailored to propel you toward your goals. This book takes you on a journey of building C++ applications while exploring advanced techniques beyond object-oriented programming. Along the way, you'll get to grips with designing templates, including template metaprogramming, and delve into memory management and smart pointers. Once you have a solid grasp of these foundational concepts, you'll advance to more advanced topics such as data structures with STL containers and explore advanced data structures with C++. Additionally, the book covers essential aspects like functional programming, concurrency, and multithreading, and designing concurrent data structures. It also offers insights into designing world-ready applications, incorporating design patterns, and addressing networking and security concerns. Finally, it adds to your knowledge of debugging and testing and large-scale application design. With Expert C++ as your guide, you'll be empowered to push the boundaries of your C++ expertise and unlock new possibilities in software development.
Table of Contents (24 chapters)
1
Part 1:Under the Hood of C++ Programming
7
Part 2: Designing Robust and Efficient Applications
18
Part 3:C++ in the AI World

Clustering

Clustering is concerned with grouping a set of objects to distribute them into groups of similar objects. Also known as cluster analysis, this is a set of techniques and algorithms that intends to group similar objects, producing clusters. The simplest illustrative introduction would be grouping a set of colored objects into different groups consisting of objects of the same color, as follows:

Figure 16.11 – Clustering

Figure 16.11 – Clustering

Although we are discussing AI tasks in this chapter, we suggest that you first try to solve problems with the knowledge base that you have so far. Let’s think about how we would categorize objects by similarity. First of all, we should have a basic idea of what the object will look like. In the preceding example, we are looking at an object’s shape, color, dimensions (the width and height of a 2D object), and so on. Without going much deeper, a basic representation of an object might look like this:

classObject...