Rudolf Scitovski,Kristian Sabo,Francisco Martinez-Alvarez,Sime Ungar
Cluster Analysis and Applications
Cluster Analysis and Applications
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- More about 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: Paperback / softback
Length: 271 pages
Publication date: 24 July 2022
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.
To facilitate understanding, the book offers clear explanations of complex concepts, accompanied by numerous examples and exercises. Each chapter is accompanied by Mathematica programs and modules, enabling students and researchers to apply the discussed concepts directly to their work. Whether you are a data analyst or a data scientist, this textbook provides valuable insights and practical tools for extracting meaningful patterns and insights from data. By leveraging the power of cluster analysis and deep learning, you can gain a competitive edge in today's data-driven world.
Weight: 438g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030745547
Edition number: 1st ed. 2021
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