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Clustering Biological Data With Self-Adjusting High-Dimensional Sieve, Josselyn Gonzalez
Clustering Biological Data With Self-Adjusting High-Dimensional Sieve, Josselyn Gonzalez
Theses and Dissertations
Data classification as a preprocessing technique is a crucial step in the analysis and understanding of numerical data. Cluster analysis, in particular, provides insight into the inherent patterns found in data which makes the interpretation of any follow-up analyses more meaningful. A clustering algorithm groups together data points according to a predefined similarity criterion. This allows the data set to be broken up into segments which, in turn, gives way for a more targeted statistical analysis. Cluster analysis has applications in numerous fields of study and, as a result, countless algorithms have been developed. However, the quantity of options makes …