Cluster validation using the non-parametric bootstrap and parallel processing: applications in unsupervised machine learning of Shimodaira's method to text mining and genomics
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Authors
Bass, Donald
Issue Date
2013-06-06
Type
Thesis
Language
en-US
Keywords
Undergraduate research , Undergraduate thesis
Alternative Title
Abstract
Cluster analysis is a type of machine learning used in many areas of research. Cluster validation is a method of determining a level of confidence for the results of cluster analysis. The goal of this research was to write a program trueTree that would perform cluster validation. trueTree proved successful. Every time trueTree's results were compared to past research, the results
matched confirming that trueTree works properly.
Description
i, 68 leaves : illustrations (some color).
Includes bibliography (leaves 67-68).
Includes bibliography (leaves 67-68).
Citation
Publisher
Wheaton College (Norton, Mass.)