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High-Dimensionality Data Reduction with Java

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1 Author(s)
Elena Villalón ; Harvard University

The author used the Java multimedia framework along with statistical software from the Colt project to preprocess and compare videos downloaded from Internet sites. Preprocessing the videos decreases each one's dimensionality and size, making it easier to analyze, interpret, and convey useful information about the data's most relevant attributes. In this article, the author shows that preprocessing raw data to decrease its dimensionality and size is essential for interpreting data and conveying useful information about its attributes. Graphically visualizing data sets with histograms or other graphs can help researchers detect structural features and properties for classifying similar data sets or making inferences about different data sets.

Published in:

Computing in Science & Engineering  (Volume:10 ,  Issue: 5 )