Cluster Analysis and Data Mining

An Introduction
1. Auflage 2014
ISBN: 978-1-938549-38-0
Verlag: Mercury Learning and Information

Buch, Englisch, 300 Seiten, Format (B × H): 178 mm x 229 mm, Gewicht: 565 g

No detailed description available for "Cluster Analysis and Data Mining".

Autoren/Hrsg.

King, Ronald S.

Fachgebiete

• Mathematik | Informatik Mathematik Mathematische Analysis
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Inhaltsverzeichnis

1) Introduction to Cluster Analysis
2) Overview of Data Mining
3) Hierarchical Clustering
4) Partition Clustering
5) Judgmental Analysis
6) Fuzzy Clustering Models and Applications
7) Classification and Association Rules
8) Cluster Validity
9) Clustering Categorical Data
10) Mining Outliers
11) Model-Based Clustering
12) General Issues

Appendices
Index

Über Autor(innen)

King Ronald S.:

Ronald S. King holds a PhD in applied statistics and currently teaches online courses for Tarleton State University (TX). Spanning a career of four decades of teaching and administration at multiple universities, he brings a unique perspective to the fields of statistics, computer science, and information systems. His lifetime career publications have made numerous contributions to these fields.