A multistep Unsupervised Fuzzy Clustering Analysis of fMRI time series
نویسندگان
چکیده
منابع مشابه
A multistep unsupervised fuzzy clustering analysis of fMRI time series.
A paradigm independent multistage strategy based on the Unsupervised Fuzzy Clustering Analysis (UFCA) and its potential for fMRI data analysis are presented. The influence of the fuzziness index is studied using Receiver Operating Characteristics (ROC) methodology and an interval of choice, around the widely used value 2, is shown to yield the best performance. The ill-balanced data problem is ...
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On clustering fMRI time series.
Analysis of fMRI time series is often performed by extracting one or more parameters for the individual voxels. Methods based, e.g., on various statistical tests are then used to yield parameters corresponding to probability of activation or activation strength. However, these methods do not indicate whether sets of voxels are activated in a similar way or in different ways. Typically, delays b...
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ژورنال
عنوان ژورنال: Human Brain Mapping
سال: 2000
ISSN: 1065-9471,1097-0193
DOI: 10.1002/1097-0193(200008)10:4<160::aid-hbm20>3.0.co;2-u