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BMCBI
2007
141views more  BMCBI 2007»
9 years 8 months ago
A novel approach to detect hot-spots in large-scale multivariate data
Background: Progressive advances in the measurement of complex multifactorial components of biological processes involving both spatial and temporal domains have made it difficult...
Jianhua Wu, Keith M. Kendrick, Jianfeng Feng
CGF
2008
90views more  CGF 2008»
9 years 8 months ago
Visual Clustering in Parallel Coordinates
Parallel coordinates have been widely applied to visualize high-dimensional and multivariate data, discerning patterns within the data through visual clustering. However, the effe...
Hong Zhou, Xiaoru Yuan, Huamin Qu, Weiwei Cui, Bao...
GEOINFO
2004
9 years 9 months ago
Visualization of Geospatial Data by Component Planes and U-matrix
: This paper shows an application of two visualization algorithms of multivariate data, U-matrix and Component Planes, in a matter of exploratory analysis of geospatial data. These...
Marcos Aurélio Santos da Silva, Antôn...
ESANN
2004
9 years 9 months ago
Dimensionality reduction and classification using the distribution mapping exponent
: Probability distribution mapping function, which maps multivariate data distribution to the function of one variable, is introduced. Distributionmapping exponent (DME) is somethi...
Marcel Jirina
VDA
2010
206views Visualization» more  VDA 2010»
9 years 10 months ago
Visual discovery in multivariate binary data
This paper presents the concept of Monotone Boolean Function Visual Analytics (MBFVA) and its application to the medical domain. The medical application is concerned with discover...
Boris Kovalerchuk, Florian Delizy, Logan Riggs, Ev...
ITC
1995
IEEE
102views Hardware» more  ITC 1995»
9 years 11 months ago
Visualizing Quality
Real-world data is known to be imperfect, suffering from various forms of defects such as sensor variability, estimation errors, uncertainty, human errors in data entry, and gaps ...
Solomon Max
ICPR
2002
IEEE
10 years 1 months ago
Uniformity Testing Using Minimal Spanning Tree
Testing for uniformity of multivariate data is the initial step in exploratory pattern analysis. We propose a new uniformity testing method, which first computes the maximum (sta...
Anil K. Jain, Xiaowei Xu, Tin Kam Ho, Fan Xiao
INFOVIS
2003
IEEE
10 years 1 months ago
Exploring High-D Spaces with Multiform Matrices and Small Multiples
We introduce an approach to visual analysis of multivariate data that integrates several methods from information visualization, exploratory data analysis (EDA), and geovisualizat...
Alan M. MacEachren, Xiping Dai, Frank Hardisty, Di...
INFOVIS
2003
IEEE
10 years 1 months ago
Visualization of Labeled Data Using Linear Transformations
We present a novel family of data-driven linear transformations, aimed at visualizing multivariate data in a low-dimensional space in a way that optimally preserves the structure ...
Yehuda Koren, Liran Carmel
ICCSA
2004
Springer
10 years 1 months ago
Target Data Projection in Multivariate Visualization - An Application to Mine Planning
Visualization is a key issue for multivariate data analysis. Multivariate visualization is an active research topic and many efforts have been made in order to find suitable and ...
Leonardo Soto, Ricardo Sánchez, Jorge Amaya
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