Classification and Clustering
Course Number: APSTA-GE 2011 - 001
Instructor: Marc Allen Scott
Course meets: MoWeFr 9:30AM - 12:15PM Jan 4 – Jan 13, Tu 9:30-12:15 Jan 17
Description: Classification and clustering are important statistical techniques commonly applied in many social and behavioral science research problems. Both seek to understand social phenomena through the identification of naturally occurring homogeneous groupings within a population. Classification techniques are used to sort new observations into preexisting or know groupings while clustering techniques sort the population under study into groupings based on their observed characteristics. Both help to reveal hidden structure that may be used in further analysis. This course will compare and contrast these techniques, including many of their variations, with an emphasis on applications.
For more information regarding professors and meeting times, students can use Albert directly. The course can be found under the Department of Applied Statistics, Social Science, and Humanities.