Cluster Analysis (1) (k-means method): Artificial Intelligence for Quick Learning 16

Thank you for picking up this book!This book is a tutorial-style manual that allows you to learn the “k-means method,” one of the “cluster analysis” methods, through hands-on experience.It provides thorough and easy-to-understand explanations so that even beginners can understand it smoothly!Cluster analysis using the k-means method is a technique for grouping data.The k-means method is simple, easy to understand, and highly efficient in practical use.If you are new to cluster analysis, learning the k-means method first will make it easier to understand other methods.By reading this book, you will be able to quickly apply cluster analysis to your work and data of interest, and find insights from complex data.The code in this book is carefully explained so that even those who are not comfortable with programming can easily understand it.The data and programs used in this book are available for download.You can accelerate your learning as you rewrite them yourself (to download, please click on the link under my profile).So let's move forward together into the world of “k-means clustering”!--------------------------------------------------Author: mintOn our blog (https://it-mint.com), we write articles on the latest information and recommended books on data analysis, artificial intelligence, image processing and image recognition.From statistical analysis and data science to English, mathematics, programming, and more, we are providing you with easy-to-understand information that will help you improve your work and skills.Click here to visit our reader support page.https://it-mint.com/support--------------------------------------------------