Buch, Englisch, 392 Seiten, Format (B × H): 184 mm x 261 mm, Gewicht: 875 g
Reihe: Chapman & Hall/CRC Monographs on Statistics and Applied Probability
Buch, Englisch, 392 Seiten, Format (B × H): 184 mm x 261 mm, Gewicht: 875 g
Reihe: Chapman & Hall/CRC Monographs on Statistics and Applied Probability
ISBN: 978-1-4398-5796-0
Verlag: Taylor & Francis Inc
The author focuses on the robust clustering methods he found to be the most useful on simulated data and real-time applications. The book provides clear guidance for the varying needs of both applications, describing scenarios in which accuracy and speed are the primary goals.
Robust Cluster Analysis and Variable Selection includes all of the important theoretical details, and covers the key probabilistic models, robustness issues, optimization algorithms, validation techniques, and variable selection methods. The book illustrates the different methods with simulated data and applies them to real-world data sets that can be easily downloaded from the web. This provides you with guidance in how to use clustering methods as well as applicable procedures and algorithms without having to understand their probabilistic fundamentals.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Introduction. Mixture and Classification Models and Their Likelihood Estimators. Robustification by Trimming. Algorithms. Favorite Solutions and Cluster Validation. Variable Selection in Clustering. Applications. Appendices. Bibliography. Index.