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|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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