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Statistical clustering techniques are widely used - from the
identification of product market segments to the classification
of distinct criminal personalities.  Learn more about the
statistical underpinnings of cluster analysis and its
implementation in Anthony Babinec’s online course
“Cluster Analysis,” November 5 – December 3 at statistics.com.

Upcoming Courses:

Oct 29:  Interactive Data Visualization
Nov  5:  Cluster Analysis (more below)
Nov 12:  Spatial Statistics with Geographic Information Systems
Nov 12:  Introduction to Support Vector Machines in R 
Nov 26:  Data Mining:  SAS Enterprise Miner Practicum

This course will teach you how to use various cluster analysis
methods to identify possible clusters in multivariate data. In
marketing applications, clusters of customer records are called
market segments (and the process is called market segmentation).
Clustering is also used in computational biology, environmental
science, web and internet analytics, and in military and security
applications.  Methods discussed include hierarchical clustering
(in which smaller clusters are nested inside larger clusters),
k-means clustering; two-step clustering; and normal mixture models
for continuous variables.

Dr. Anthony Babinec is President of AB Analytics. For over two
decades, Tony Babinec has specialized in the application of
statistical and data mining methods to the solution of business
problems.  Tony has multiple degrees from the University of Chicago,
where he studied Advanced Statistics and Survey Research. Before
forming AB Analytics, Babinec was Director of Advanced Products
Marketing at SPSS; he worked on the marketing of Clementine and
introduced CHAID, neural nets and other advanced technologies to
SPSS users. He has presented at the AMA's Applied Research Methods
Conference and Advanced Research Techniques Forum, the Sawtooth
Software Conference, Statistical Innovation's Statistical
Modeling Week, and numerous professional meetings. He is on
the Board of Directors of the Chicago Chapter of the American
Statistical Association, where he has held various offices
including President. He is on the Editorial Board of the Journal
of Targeting, Measurement and Analysis for Marketing.  Participants
can ask questions and exchange comments directly with Dr. Babinec
via a private discussion board throughout the period.

Details: 
http://www.statistics.com/ourcourses/clustering/

The course takes place online at statistics.com in a series of
4 weekly lessons and assignments, and requires about 15 hours
per week.  Participate at your own convenience; there are no
set times when you are required to be online.

Janet Dobbins
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