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- W2126619196 abstract "Eye tracking devices generate enormous amount of data, which requires a well-balanced approach to selective visualization of the data. This approach involves employing some data clustering algorithm. Most of the tradi-tional algorithms, however, are too slow as well as inadequately deterministic to be applied to eye gaze data. This paper describes our software implementation of two modifications of the clustering algorithm suitable for visualization of eye gaze data. Such a visualization greatly facilitates data analysis by grouping the individual samples into more meaningful units referred to as gaze fixations." @default.
- W2126619196 created "2016-06-24" @default.
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- W2126619196 date "2007-06-22" @default.
- W2126619196 modified "2023-09-26" @default.
- W2126619196 title "APPLICATION OF CLUSTERING ALGORITHMS IN EYE GAZE VISUALIZATIONS" @default.
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- W2126619196 doi "https://doi.org/10.5755/j01.itc.36.2.11874" @default.
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