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Central Connecticut State University


Detailed Course Information


Fall 2017
Feb 20, 2018
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STAT 522 - Clustering and Affinity Anlsis
Clustering and Affinity Analysis Spring. Prereq.: STAT 521 or permission of department chair. Investigation and application of methods and models used for clustering and affinity analysis. Topics may include dimension reduction methods, k-means clustering, hierarchical clustering, Kohonen networks clustering, BIRCH clustering, anomaly detection, market basket analysis, and association rules using the a priori and generalized rule induction algoriths.

4.000 Credit hours
4.000 Lecture hours

Schedule Types: Independent Study, Lecture, Online Instruction

Mathematics Department

Must be enrolled in one of the following Levels:     

Graduate level STAT 521 Minimum Grade of C

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