Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/49881
Title: High-dimensional multi-view dataset pre-processing and clustering
Authors: Wei, Yaguang.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Issue Date: 2012
Abstract: The objective of this project is two-fold: the first one is to perform pre-processing on high-dimensional multi-view datasets and to investigate potential applications of new data mining techniques with the new datasets. The second part of the project is to design and implement an existing clustering algorithm and conduct extensive experimental study to test the performances of the clustering algorithm on various text benchmark datasets. This report highlights the implementation of the pre-processing approach for the data processing. It also includes the design and implementation ideas of the clustering algorithm Semi-Supervised Spherical K-Means and the simulation results. The performances of SS-SKM are documented and reported.
URI: http://hdl.handle.net/10356/49881
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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