Cluster Analysis and Data Mining

An Introduction

Ronald S. King (Autor)

Buch | Softcover

300 Seiten

2014
Mercury Learning & Information (Verlag)
978-1-938549-38-0 (ISBN)

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Designed for training industry professionals or for a course on clustering and classification, this book can also be used as a companion text for applied statistics. No previous experience in clustering or data mining is assumed. Informal algorithms for clustering data and interpreting results are emphasized.

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.

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

Erscheint lt. Verlag	5.12.2014
Sprache	englisch
Gewicht	544 g
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
	Mathematik / Informatik ► Informatik ► Theorie / Studium
	Mathematik / Informatik ► Mathematik
ISBN-10	1-938549-38-4 / 1938549384
ISBN-13	978-1-938549-38-0 / 9781938549380
Zustand	Neuware