DANA 4840: Classification II

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Course Format Lecture 4.0 h + Seminar 0.0 h + Lab. 0.0 h
Credits 3.0

Course Description

Following dimension reduction and standard techniques of classification, situations arise where more advanced techniques are called for. Students learn the various multivariate techniques for classifying objects or cases into several groups. Density-based and centroid-based clustering, hierarchical techniques, as well as other clustering techniques such as fuzzy clustering will be discussed in detail.

Registration in this course is restricted to students admitted to the Post-Degree Diploma in Data Analytics.

Prerequisite(s): A minimum "C" grade in DANA 4820 and 4830.

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