Cluster Analysis and Applications

The biggest limitation of Big Data is the lack of trained experts who are qualified to process and interpret the results. This textbook is intended for graduate students and experts using cluster analysis and applications in various fields, with an in-depth mathematical treatment and coverage of deep learning-based clustering methods. It is suitable for an introductory course on cluster analysis or data mining and can be used by students and researchers in data analysis or data science.

Format: Hardback
Length: 271 pages
Publication date: 23 July 2021
Publisher: Springer Nature Switzerland AG

The advent of Big Data platforms and the widespread availability of data processing tools have opened up immense possibilities for managing and analyzing vast amounts of data. However, one of the major challenges facing this field is the scarcity of skilled professionals capable of processing and interpreting the resulting data. This textbook is specifically designed for advanced graduate students and experts who employ cluster analysis and its applications across diverse fields. It serves as an ideal resource for an introductory course on cluster analysis or data mining, offering a comprehensive mathematical treatment that encompasses various measures, primitives, and optimization-based clustering methods. Additionally, Cluster Analysis and Applications delve into the realm of deep learning-based clustering techniques, providing a comprehensive overview of these cutting-edge methods.

Throughout the book, clear explanations of complex concepts are accompanied by numerous examples and exercises, making it accessible to students and researchers from various disciplines. Each chapter includes Mathematica programs and modules that further enhance the understanding and application of the discussed topics. Whether you are a data analyst or a data scientist, this textbook offers valuable insights and practical tools for working with cluster analysis and its applications in modern data science.

In conclusion, Cluster Analysis and Applications is a comprehensive and authoritative textbook that caters to the needs of advanced students and experts in the field of cluster analysis. With its extensive coverage of mathematical concepts, practical examples, and computational resources, it provides a solid foundation for understanding and applying these techniques in data analysis and data science.

Weight: 594g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030745516
Edition number: 1st ed. 2021