variance
Decision-makers must make decisions under uncertainty. In the era of Data Analytics and ``data-driven" decision-making, decision-makers therefore need to understand the risk, variance and uncertainty in the data they are provided. While there has been a sizable research effort to investigate how to communicate risk to lay people better, the field of uncertainty visualization is much less-developed, with many questions still remaining how to best visualize variance and uncertainty.
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This dataset collection contains eleven datasets used in Locally Linear Embedding and fMRI feature selection in psychiatric classification.
The datasets given in the Links section are reduced subsets of those contained in their respective tar files (a consequence of Mendeley Data's 10GB limitation).
The Linked datasets (not the tar files) contain just the MATLAB file and the resting state image (or block-design fMRI for the MRN dataset), where appropriate.
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