Search results
- Name
- EvIdent(r)
- Byline
- National Research Council, Institute for Biodiagnostics
- Description
Detecting Novelty in a Series of Datasets
EvIdent® (EVent IDENTification) is an exploratory data analysis application for rapidly investigating novel events in a set of images as they evolve over time, frequency, or some other analysis dimension.
EvIdent® allows researchers to probe for unanticipated but domain-significant structure in the data:- Implemented in Scopira, a multi-platform 64-bit clean C++ data analysis application framework with a plug-in architecture;
- Flexibly generate unbiased, testable models;
- Useful for complex cognitive experiments;
- Reliable data-driven, model-free analysis using EROICA, EvIdent®'s enhanced fuzzy clustering strategy;
- Excellent precursor and complement to any model-based inferential method.
- NIfTI-1 support
- Creator
- Ray Somorjai
- Contact
- ray.somorjai@nrc-cnrc.gc.ca
- WWW
- http://scopira.org/evident/
- Availability
- How to get
- See website.
- Current version
- 0.9
- Current version release date
- Open source
- Yes
- License
- GPL
- Available free of charge
- Yes
- Requirements
- Technical publications
- See website.
- Applications publications
- See website.
- Other information
- Keywords
- functional, novelty detection, visualization, volume
- Platforms
- Linux, Windows
- IATR listing last updated
- 16 Jan 2007
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