登入
選單
返回
Google圖書搜尋
Cluster Analysis and Applications
Rudolf Scitovski
Kristian Sabo
Francisco Martínez-Álvarez
Šime Ungar
出版
Springer Nature
, 2021-07-22
主題
Computers / Information Theory
Computers / Artificial Intelligence / General
Computers / Computer Science
Computers / Artificial Intelligence / Computer Vision & Pattern Recognition
Computers / Programming / Algorithms
Computers / Information Technology
Computers / Optical Data Processing
ISBN
303074552X
9783030745523
URL
http://books.google.com.hk/books?id=wcI5EAAAQBAJ&hl=&source=gbs_api
EBook
SAMPLE
註釋
With the development of Big Data platforms for managing massive amount of data and wide availability of tools for processing these data, the biggest limitation 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 methods of cluster analysis and applications in various fields.
Suitable for an introductory course on cluster analysis or data mining, with an in-depth mathematical treatment that includes discussions on different measures, primitives (points, lines, etc.) and optimization-based clustering methods,
Cluster Analysis and Applications
also includes coverage of deep learning based clustering methods.
With clear explanations of ideas and precise definitions of concepts, accompanied by numerous examples and exercises together with Mathematica programs and modules,
Cluster Analysis and Applications
may be used by students and researchers in various disciplines, working in data analysis or data science.