CMSC /436636:
Data Visualization
Computer Science and Electrical Engineering Department
University of Maryland Baltimore County
Supplementary Data Analysis Assignment
Due: October 26, 2017 (LOI by October 19)
Mandatory for those in 636, XC for those in 436
Project Description
In this assigment, you will apply one of the classic data analysis algorithms useful in
supplementing visualization techniques.
Analysis steps you may consider include:
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Principal Components Analysis
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Multi-dimensional Scaling
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Isomap
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Self Organizing Maps
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Clustering
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Classification (decision trees, support vector machines, etc.)
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Something particularly useful to your term project
Technique Choice and Data
Ideally, you should work on the data for your project to do some useful function that
will improve your project results. If two members of the project team are completing
this assignment, they should choose substantially different analysis techniques or
approaches, in order to avoid duplication of effort.
See the instructor to clarify what constitutes substantially different or for
help arbitrating technique selection.
By Oct 19, email the instructor to get approval for your choice of analysis technique and how you plan
to use it to analyze or preprocess project data. Feel free to email earlier for approval
and suggestions.
What to turn in
Turn in a one to two page report about your analysis including citations for packages
and tools you used, discussion of analytic goals,
discussion of parameters and options, some sort of representative before and after images
showing the effects of your analysis, a caption explaining what the images show about the data, a
description of difficulties faced, a list of problems or limitatons remaining, and a list
of sources consulted. Turn in a hard copy of the report in class and post your results report
on piazza.