Visual data mining for modeling prior distributions in morphometry.

Visual data mining for modeling prior distributions in morphometry.

This article presents a novel method for visual data mining based on exploratory factor analysis. Modern imaging modalities provide an overwhelming amount of information that cannot be effectively handled without computerized tools. Data mining techniques aim to discover new knowledge from the colle...

詳細記述

書誌詳細
出版年:IEEE Signal processing magazine 21, 3 (2004).
第一著者: Machado, A.M.C
フォーマット: 論文
言語:English
主題:
Callosal morphology.
Computerized imaging.
Data redundancy.
Exploratory factor analysis.
Hidden patterns.
Human corpus callosum.
Image registration.
Linear Gaussian model.
Magnetic resonance imaging.
Morphometry.
Prior statistical distribution.
Visual data mining.