Title :
Shape-invariant fuzzy clustering of proteomics data
Author :
Berthold, Michael R. ; Patterson, David E. ; Ortolani, Michele ; Hofer, Heiko ; Höppner, Frank ; Callan, Ondine
Author_Institution :
Data Anal. Res. Lab., Tripos Inc., San Francisco, CA, USA
Abstract :
We present a variant of fuzzy c-means that allows us to find similar shapes in time series data in a scale-invariant fashion. We use data from protein mass spectrography to show how this approach finds areas of interest without a need for ad-hoc normalizations.
Keywords :
fuzzy set theory; optimisation; pattern clustering; proteins; time series; fuzzy c-means; protein mass spectrography; proteomics data; shape-invariant fuzzy clustering; time series data; Acceleration; Automation; Chemical technology; Computer science; Data analysis; Proteins; Proteomics; Shape; Time series analysis; USA Councils;
Conference_Titel :
Fuzzy Information Processing Society, 2002. Proceedings. NAFIPS. 2002 Annual Meeting of the North American
Print_ISBN :
0-7803-7461-4
DOI :
10.1109/NAFIPS.2002.1018029