Cluster Analysis and Applications
暫譯: 叢集分析與應用
Scitovski, Rudolf, Sabo, Kristian, Martínez-Álvarez, Francisco
- 出版商: Springer
- 出版日期: 2021-07-23
- 售價: $2,990
- 貴賓價: 9.5 折 $2,841
- 語言: 英文
- 頁數: 271
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3030745511
- ISBN-13: 9783030745516
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相關主題
商品描述
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.
商品描述(中文翻譯)
隨著大數據平台的發展，以管理大量數據以及各種處理這些數據的工具的廣泛可用性，最大的限制在於缺乏受過訓練的專家，這些專家有資格處理和解釋結果。本教科書旨在為研究生和專家提供有關叢集分析方法及其在各個領域應用的知識。
本書適合用作叢集分析或資料探勘的入門課程，並提供深入的數學處理，包括對不同度量、原始元素（點、線等）和基於優化的叢集方法的討論，《叢集分析與應用》還涵蓋了基於深度學習的叢集方法。
本書對概念的解釋清晰，定義準確，並附有大量範例和練習，以及 Mathematica 程式和模組，《叢集分析與應用》可供各個學科的學生和研究人員使用，特別是從事數據分析或數據科學的工作。
作者簡介
Kristian Sabo received his Ph.D. in Applied Mathematics from the University of Zagreb in 2007. He works as a Professor at the Department of Mathematics, University of Osijek. His research interests are Applied and Numerical Mathematics (Curve Fitting, Parameter Estimation, Data Cluster Analysis) with applications in Agriculture, Economy, Chemistry, Politics, Electrical Engineering, Medicine, Food Industry, Mechanical Engineering.
Francisco Martínez-Álvarez recevied his Ph.D. in Computer Science from the Pablo de Olavide University in 2010. He works as a Professor at the Department of Computer Science, at the same univeristy. He was the Head of the Department of Computer Science for some years and co-founded the Data Science and Big Data Lab in 2015. He has been a visiting scholar to various universities, such as New York University, Universidad de Chile or Université de Lyon. His research interests include machine learning, optimization, forecasting and big data analytics.
Sime Ungar received his Ph.D. in Topology from the University of Zagreb in 1977. He spent the academic year 1978/79 as a Visiting Assistant Professor at the Department of Mathematics, University of Utah, Salt Lake City, Utah, USA. He worked as a Professor at the Department of Mathematics, University of Zagreb and at the Department of Mathematics, University of Osijek, and is now retired. His research interest is in geometric and algebraic topology, mathematical analysis and inequalities.
作者簡介(中文翻譯)
魯道夫·斯基托夫斯基於1984年在薩格勒布大學獲得應用數學博士學位。他目前在奧西耶克大學數學系擔任教授，並曾長期擔任數學系主任。在此之前，他曾在奧西耶克大學的電機工程學院和經濟學院任職。他的研究興趣包括最小平方和最小絕對偏差問題、聚類和全局優化。
克里斯蒂安·薩博於2007年在薩格勒布大學獲得應用數學博士學位。他目前在奧西耶克大學數學系擔任教授。他的研究興趣包括應用數學和數值數學（曲線擬合、參數估計、數據聚類分析），並應用於農業、經濟、化學、政治、電機工程、醫學、食品工業和機械工程等領域。
弗朗西斯科·馬丁內斯-阿爾瓦雷斯於2010年在巴布羅·德·奧拉維德大學獲得計算機科學博士學位。他目前在同一所大學的計算機科學系擔任教授。他曾擔任計算機科學系主任數年，並於2015年共同創立了數據科學與大數據實驗室。他曾作為訪問學者到訪多所大學，如紐約大學、智利大學和里昂大學。他的研究興趣包括機器學習、優化、預測和大數據分析。
西梅·烏恩加爾於1977年在薩格勒布大學獲得拓撲學博士學位。他於1978/79學年在美國猶他州鹽湖城的猶他大學數學系擔任訪問助理教授。他曾在薩格勒布大學數學系和奧西耶克大學數學系擔任教授，現在已退休。他的研究興趣包括幾何和代數拓撲、數學分析和不等式。
