Classification, Clustering, and Data Analysis
Title | Classification, Clustering, and Data Analysis PDF eBook |
Author | Krzystof Jajuga |
Publisher | Springer Science & Business Media |
Pages | 468 |
Release | 2012-12-06 |
Genre | Computers |
ISBN | 3642561810 |
The book presents a long list of useful methods for classification, clustering and data analysis. By combining theoretical aspects with practical problems, it is designed for researchers as well as for applied statisticians and will support the fast transfer of new methodological advances to a wide range of applications.
Classification, Clustering, and Data Mining Applications
Title | Classification, Clustering, and Data Mining Applications PDF eBook |
Author | David Banks |
Publisher | Springer Science & Business Media |
Pages | 642 |
Release | 2011-01-07 |
Genre | Language Arts & Disciplines |
ISBN | 3642171036 |
This volume describes new methods with special emphasis on classification and cluster analysis. These methods are applied to problems in information retrieval, phylogeny, medical diagnosis, microarrays, and other active research areas.
Model-Based Clustering and Classification for Data Science
Title | Model-Based Clustering and Classification for Data Science PDF eBook |
Author | Charles Bouveyron |
Publisher | Cambridge University Press |
Pages | 447 |
Release | 2019-07-25 |
Genre | Mathematics |
ISBN | 1108640591 |
Cluster analysis finds groups in data automatically. Most methods have been heuristic and leave open such central questions as: how many clusters are there? Which method should I use? How should I handle outliers? Classification assigns new observations to groups given previously classified observations, and also has open questions about parameter tuning, robustness and uncertainty assessment. This book frames cluster analysis and classification in terms of statistical models, thus yielding principled estimation, testing and prediction methods, and sound answers to the central questions. It builds the basic ideas in an accessible but rigorous way, with extensive data examples and R code; describes modern approaches to high-dimensional data and networks; and explains such recent advances as Bayesian regularization, non-Gaussian model-based clustering, cluster merging, variable selection, semi-supervised and robust classification, clustering of functional data, text and images, and co-clustering. Written for advanced undergraduates in data science, as well as researchers and practitioners, it assumes basic knowledge of multivariate calculus, linear algebra, probability and statistics.
Data Clustering: Theory, Algorithms, and Applications, Second Edition
Title | Data Clustering: Theory, Algorithms, and Applications, Second Edition PDF eBook |
Author | Guojun Gan |
Publisher | SIAM |
Pages | 430 |
Release | 2020-11-10 |
Genre | Mathematics |
ISBN | 1611976332 |
Data clustering, also known as cluster analysis, is an unsupervised process that divides a set of objects into homogeneous groups. Since the publication of the first edition of this monograph in 2007, development in the area has exploded, especially in clustering algorithms for big data and open-source software for cluster analysis. This second edition reflects these new developments, covers the basics of data clustering, includes a list of popular clustering algorithms, and provides program code that helps users implement clustering algorithms. Data Clustering: Theory, Algorithms and Applications, Second Edition will be of interest to researchers, practitioners, and data scientists as well as undergraduate and graduate students.
Data Science
Title | Data Science PDF eBook |
Author | Francesco Palumbo |
Publisher | Springer |
Pages | 346 |
Release | 2017-07-04 |
Genre | Mathematics |
ISBN | 3319557238 |
This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification. In particular, it includes contributions on classification methods for high-dimensional data, clustering methods, multivariate statistical methods, and various applications. The book gathers a selection of peer-reviewed contributions presented at the Fifteenth Conference of the International Federation of Classification Societies (IFCS2015), which was hosted by the Alma Mater Studiorum, University of Bologna, from July 5 to 8, 2015.
Fuzzy Cluster Analysis
Title | Fuzzy Cluster Analysis PDF eBook |
Author | Frank Höppner |
Publisher | John Wiley & Sons |
Pages | 308 |
Release | 1999-07-09 |
Genre | Science |
ISBN | 9780471988649 |
Dieser Band konzentriert sich auf Konzepte, Algorithmen und Anwendungen des Fuzzy Clustering. In sich geschlossen werden Techniken wie das Fuzzy-c-Mittel und die Gustafson-Kessel- und Gath- und Gava-Algorithmen behandelt, wobei vom Leser keine Vorkenntnisse auf dem Gebiet von Fuzzy-Systemen erwartet werden. Durch anschauliche Anwendungsbeispiele eignet sich das Buch als Einführung für Praktiker der Datenanalyse, der Bilderkennung und der angewandten Mathematik. (05/99)
Classification, Clustering, and Data Analysis
Title | Classification, Clustering, and Data Analysis PDF eBook |
Author | Krzystof Jajuga |
Publisher | |
Pages | 508 |
Release | 2002-06-26 |
Genre | |
ISBN | 9783642561825 |