STAT 439 - Clustering Algorithms

Institution:

Missouri University of Science and Technology

Subject:

Statistics

Description:

An introduction to cluster analysis and clustering algorithms rooted in computational intelligence, computer science and statistics. Clustering in sequential data, massive data and high dimensional data. Students will be evaluated by individual or group research projects and research presentations. Prerequisite: At least one graduate course in statistics, data mining, algorithms, computational intelligence, or neural networks, consistent with student's degree program. (Co-listed with Comp Eng 439, Elec Eng 439, Sys Eng 439 and Comp Sci 449)

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.mst.edu/

Phone Number:

(573) 341-4111

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Semester

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