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We have a dedicated site for Germany. The purpose of this book is to thoroughly prepare the reader for applied research in clustering. Cluster analysis comprises a class of statistical techniques for classifying multivariate data into groups or clusters based on their similar features.
Clustering is nowadays widely used in several domains of research, such as social sciences, psychology, and marketing, highlighting its multidisciplinary nature. This book provides an accessible and comprehensive introduction to clustering and offers practical guidelines for applying clustering tools by carefully chosen real-life datasets and extensive data analyses.
The procedures addressed in this book include traditional hard clustering methods and up-to-date developments in soft clustering. Attention is paid to practical examples and applications through the open source statistical software R. Commented R code and output for conducting, step by step, complete cluster analyses are available.
An Introduction to Clustering with R
Mar Sales Ended. Event description. Description Clustering techniques are used extensively in many different fields; including image analysis,statistics, medical science, machine learning, pattern recognition and many others. During the workshop we will introduce various clustering techniques e.
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