NDLI: Interpreting fuzzy clustering results with virtual reality-based visual data mining: Application to microarray gene expression data

Content Provider	IEEE Xplore Digital Library
Author	Valdes, J.J.
Copyright Year	2004
Description	Author affiliation: Inst. for Inf. Technol., Nat. Res. Council of Canada, Ottawa, Ont., Canada (Valdes, J.J.)
Abstract	This paper combines fuzzy clustering with a virtual reality based technique for visual data mining. The purpose is to construct virtual reality spaces preserving as much structural information from the original data as possible, where the results of fuzzy clustering procedures can be displayed and analyzed. The construction of such spaces involves non-linear transformations of the original feature space, which can be either the space of the original attributes or the space of the fuzzy memberships with respect to the constructed fuzzy classes. In particular, the representation involves the centroids of the different classes, the individual memberships of all of the studied objects with respect to all of the fuzzy classes, and eventually their comparison with additional crisp partitions or partitions induced by a decision attribute. This approach is applied to different data sets from the fields of biology and medicine, including microarray gene expression data related to Alzheimer's disease and Leukemia. The visual inspection and the navigation in the virtual reality spaces, provided useful insights about (i) the quality of the obtained classifications, (ii) the overlapping of different classes, and (iii) their relationships.
Sponsorship	IEEE IEEE Syst., Man, and Cybernetics Soc. Univ. of Alberta, Faculty of Eng., Dept. of Elec. & Comput. Eng. Alberta Innovation & Sci. ASERC iCORE Alberta Ingenuity (AI) Fund Nat. Res. Council (NRC) Pearson Educ. Canada J. Wiley McGraw Hill Elsevier BV Inst. of Phys. Res. Studies Press SUN Microsystems Springer-Verlag Login Brothers Canada
Starting Page	302
Ending Page	307
File Size	432758
Page Count	6
File Format	PDF
ISBN	0780383761
DOI	10.1109/NAFIPS.2004.1336296
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-06-27
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data mining Gene expression Virtual reality Navigation Data analysis Data structures Councils Information technology Space technology Information analysis
Content Type	Text
Resource Type	Article

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