Author: | Artem Kovera | ISBN: | 9781540180636 |
Publisher: | Artem Kovera | Publication: | January 21, 2018 |
Imprint: | Language: | English |
Author: | Artem Kovera |
ISBN: | 9781540180636 |
Publisher: | Artem Kovera |
Publication: | January 21, 2018 |
Imprint: | |
Language: | English |
***Machine Learning Made Easy to Understand with Clustering Algorithms. ***
Clustering algorithms are commonly used in a variety of applications. There are four major tasks for clustering:
In an introductory chapter, you will find:
In the following chapters, we will implement these concepts in practice, working with clustering algorithms.
This e-book provides detailed explanations of several widely-used clustering approaches with visual representations:
Hierarchical agglomerative clustering;
K-means;
DBSCAN;
Neural network-based clustering
You will learn different strengths and weaknesses of these algorithms as well as the practical strategies to overcome the weaknesses. In addition, we will briefly touch upon some other clustering methods.
This book mostly focuses on how the algorithms work behind the scenes. However, there is some code in this book. The examples of the algorithms are presented in Python 3.
***Machine Learning Made Easy to Understand with Clustering Algorithms. ***
Clustering algorithms are commonly used in a variety of applications. There are four major tasks for clustering:
In an introductory chapter, you will find:
In the following chapters, we will implement these concepts in practice, working with clustering algorithms.
This e-book provides detailed explanations of several widely-used clustering approaches with visual representations:
Hierarchical agglomerative clustering;
K-means;
DBSCAN;
Neural network-based clustering
You will learn different strengths and weaknesses of these algorithms as well as the practical strategies to overcome the weaknesses. In addition, we will briefly touch upon some other clustering methods.
This book mostly focuses on how the algorithms work behind the scenes. However, there is some code in this book. The examples of the algorithms are presented in Python 3.