Browsing VAMP: EuroVis Workshop on Visual Analytics using Multidimensional Projections by Issue Date
Now showing items 1-6 of 6
-
Interactive Visualization and Feature Transformation for Multidimensional Data Projection
(The Eurographics Association, 2013)Projecting multidimensional data to a lower-dimensional visual display as a scatter-plot-like visualization is a common approach for analyzing multidimensional data. Many dimension reduction techniques exist for performing ... -
ClassiMap: a Supervised Mapping Technique for Decision Support
(The Eurographics Association, 2013)Dimensionality reduction algorithms may be of great help as decision support, representing the information as a map which summarizes the data similarities. When data come with an assigned class label, such a map can be ... -
Stability Comparison of Dimensionality Reduction Techniques Attending to Data and Parameter Variations
(The Eurographics Association, 2013)The analysis of the big volumes of data requires efficient and robust dimension reduction techniques to represent data into lower-dimensional spaces, which ease human understanding. This paper presents a study of the ... -
A Proposition of Interactive Visual Clustering System
(The Eurographics Association, 2013)This work describes a novel interactive visual clustering system. It combines a 2D projection with a clustering algorithm that operates on this projected data. Example-based interactions are supported directly through the ... -
User Control for Adjusting Conflicting Objectives in Parameter-dependent Visualization of Data
(The Eurographics Association, 2013)Dealing with high-dimensional data becomes very common nowadays; visualization is a natural preprocessing to have an overview of such data. A lot of dimensionality reduction methods exist; many of them require to tune a ... -
ProxiLens: Interactive Exploration of High-Dimensional Data using Projections
(The Eurographics Association, 2013)As dimensionality increases, analysts are faced with difficult problems to make sense of their data. In exploratory data analysis, multidimensional scaling projections can help analyst to discover patterns by identifying ...