Partition clustering of High Dimensional Low Sample Size data based on P-Values

Partition clustering of High Dimensional Low Sample Size data based on P-Values

Doctor of Philosophy === Department of Statistics === Haiyan Wang === This thesis introduces a new partitioning algorithm to cluster variables in high dimensional low sample size (HDLSS) data and high dimensional longitudinal low sample size (HDLLSS) data. HDLSS data contain a large number of variab...

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Bibliographic Details
Main Author: Von Borries, George Freitas
Language:en_US
Published: Kansas State University 2008
Subjects:
High Dimensional Data
Clustering
Nonparametric Inference
Bioinformatics
Statistical Learning
Data Mining
Statistics (0463)
Online Access:http://hdl.handle.net/2097/590

Internet

http://hdl.handle.net/2097/590

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