Title
iLAMP: Exploring high-dimensional spacing through backward multidimensional projection
Abstract
Ever improving computing power and technological advances are greatly augmenting data collection and scientific observation. This has directly contributed to increased data complexity and dimensionality, motivating research of exploration techniques for multidimensional data. Consequently, a recent influx of work dedicated to techniques and tools that aid in understanding multidimensional datasets can be observed in many research fields, including biology, engineering, physics and scientific computing. While the effectiveness of existing techniques to analyze the structure and relationships of multidimensional data varies greatly, few techniques provide flexible mechanisms to simultaneously visualize and actively explore high-dimensional spaces. In this paper, we present an inverse linear affine multidimensional projection, coined iLAMP, that enables a novel interactive exploration technique for multidimensional data. iLAMP operates in reverse to traditional projection methods by mapping low-dimensional information into a high-dimensional space. This allows users to extrapolate instances of a multidimensional dataset while exploring a projection of the data to the planar domain. We present experimental results that validate iLAMP, measuring the quality and coherence of the extrapolated data; as well as demonstrate the utility of iLAMP to hypothesize the unexplored regions of a high-dimensional space.
Year
DOI
Venue
2012
10.1109/VAST.2012.6400489
IEEE VAST
Keywords
DocType
Citations 
multidimensional dataset,increased data complexity,high-dimensional spacing,validate iLAMP,inverse linear affine multidimensional,multidimensional data,traditional projection method,multidimensional datasets,high-dimensional space,computing power,augmenting data collection,multidimensional projection
Conference
1
PageRank 
References 
Authors
0.35
0
6
Name
Order
Citations
PageRank
Paulo Joia11194.45
Luis G. Nonato279755.35
Emilio Vital Brazil35710.75
Mario Costa Sousa498668.96
Joel Daniels5231.71
Elisa Portes dos Santos Amorim641.27