Conference proceeding
Leveraging layout with dimensional stacking and pixelization to facilitate feature discovery and directed queries
PIXELIZATION PARADIGM, Vol.4370, pp.77-91
Lecture Notes in Computer Science
01/01/2007
DOI: 10.1007/978-3-540-71027-1_8
Abstract
Pixelization is the simple yet powerful technique of mapping each element of some data set to a pixel in a 2D image. There are 2 primary characteristics of pixels that can be leveraged to impart information: 1. their color and color-related attributes (hue, saturation, etc.) and 2. their arrangement in the image. We have found that applying a dimensional stacking layout to pixelization uniquely facilitates feature discovery, informs and directs user queries, supports interactive data mining, and provides a means for exploratory analysis. In this paper we describe our approach and how it is being used to analyze multidimensional, multivariate neuroscience data.
Details
- Title: Subtitle
- Leveraging layout with dimensional stacking and pixelization to facilitate feature discovery and directed queries
- Creators
- John T. Langton - Charles River AnalyticsDavid K. Wittenberg - Brandeis UniversityTimothy J. Hickey - Brandeis University
- Contributors
- P P Levy (Editor)B LeGrand (Editor)F Poulet (Editor)M Soto (Editor)L Darago (Editor)L Toubiana (Editor)J F Vibert (Editor)
- Resource Type
- Conference proceeding
- Publication Details
- PIXELIZATION PARADIGM, Vol.4370, pp.77-91
- Publisher
- Springer Nature
- Series
- Lecture Notes in Computer Science
- DOI
- 10.1007/978-3-540-71027-1_8
- ISSN
- 0302-9743
- eISSN
- 1611-3349
- Number of pages
- 3
- Language
- English
- Date published
- 01/01/2007
- Academic Unit
- Cinematic Arts; English
- Record Identifier
- 9984397933102771
Metrics
2 Record Views