Автор: Artem Kovera
Название: Machine Learning with Clustering: A Visual Guide for Beginners with Examples in Python 3
Издательство: Amazon Digital Services LLC
Год: 2017
ASIN: B076NX6KY7
Язык: English
Формат: azw3, pdf
Размер: 10,3 mb
Страниц: 61
If you are already familiar with data science, this e-book can also be helpful for you because it presents detailed explanations with visual representations for several widely-used clustering approaches:
– Hierarchical agglomerative clustering;
– K-means;
– DBSCAN;
– Neural networks-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.
The examples of the algorithms are presented in Python 3. We will work with several datasets, including the ones based on real-world data.
We will be primarily working with the Scikit-learn and SciPy libraries. But our neural network for clustering, we will build basically from scratch, just by using Numpy arrays.