Introduction to Exploratory Data Analysis. Dimensionality Reduction – Linear Methods. Dimensionality Reduction – Nonlinear Methods. Data Tours. Finding Clusters. Model-Based Clustering. Smoothing Scatterplots. Visualizing Clusters. Distribution Shapes. Multivariate Visualization. Appendices.
Wendy L. Martinez is a mathematical statistician with the U.S.
Bureau of Labor Statistics. She is a fellow of the American
Statistical Association, a co-author of several popular Chapman &
Hall/CRC books, and a MATLAB® user for more than 20 years. Her
research interests include text data mining, probability density
estimation, signal processing, scientific visualization, and
statistical pattern recognition. She earned an M.S. in aerospace
engineering from George Washington University and a Ph.D. in
computational sciences and informatics from George Mason
University.
Angel R. Martinez is fully retired after a long career with the
U.S. federal government and as an adjunct professor at Strayer
University, where he taught undergraduate and graduate courses in
statistics and mathematics. Before retiring from government
service, he worked for the U.S. Navy as an operations research
analyst and a computer scientist. He earned an M.S. in systems
engineering from the Virginia Polytechnic Institute and State
University and a Ph.D. in computational sciences and informatics
from George Mason University.
Since 1984, Jeffrey L. Solka has been working in statistical
pattern recognition for the Department of the Navy. He has
published over 120 journal, conference, and technical papers; has
won numerous awards; and holds 4 patents. He earned an M.S. in
mathematics from James Madison University, an M.S. in physics from
Virginia Polytechnic Institute and State University, and a Ph.D. in
computational sciences and informatics from George Mason
University.
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