International audienceVisualization of high-dimensional and possibly complex (non continuous for instance) data onto a low-dimensional space may be difficult. Several projection methods have been already proposed for displaying such high-dimensional structures on a lower-dimensional space, but the information lost is not always easy to use. Here, a new projection paradigm is presented to describe a non-linear projection method that takes into account the projection quality of each projected point in the reduced space, this quality being directly available in the same scale as this reduced space. More specifically, this novel method allows a straightforward visualization data in R 2 with a simple reading of the approximation quality, and pro...
Dimensionality reduction techniques are the tools of choice for exploring high-dimensional datasets ...
Multidimensional scaling allows visualizing high-dimensional data as 2D maps with the premise that i...
In data science and visualization, dimensionality reduction techniques have been extensively employe...
Visualization of high-dimensional and possibly complex (non continuous for instance) data onto a low...
International audienceVisualization of high-dimensional and possibly complex (non continuous for ins...
International audienceMapping high-dimensional data in a low-dimensional space, for example, for vis...
Visualization techniques and methods are often a key aid for scientists who aim to form, refine, or ...
Multidimensional projections are an increasingly popular technique for visualizing large datasets co...
Acquérir et traiter des données est de moins en moins coûteux, à la fois en matériel et en temps, ma...
We introduce a set of integrated interaction techniques to interpret and interrogate dimensionality-...
In recent years, many dimensionality reduction (DR) algorithms have been proposed for visual analysi...
International audienceWe propose Compadre, a tool for visual analysis for comparing distances of hig...
Random projection method is one of the important tools for the dimensionality reduction of data whic...
The research object of this work is multidimensional data visualization algorithms and methods that ...
AbstractThe embedding of high-dimensional data into 2D/3D space is the most popular way of data visu...
Dimensionality reduction techniques are the tools of choice for exploring high-dimensional datasets ...
Multidimensional scaling allows visualizing high-dimensional data as 2D maps with the premise that i...
In data science and visualization, dimensionality reduction techniques have been extensively employe...
Visualization of high-dimensional and possibly complex (non continuous for instance) data onto a low...
International audienceVisualization of high-dimensional and possibly complex (non continuous for ins...
International audienceMapping high-dimensional data in a low-dimensional space, for example, for vis...
Visualization techniques and methods are often a key aid for scientists who aim to form, refine, or ...
Multidimensional projections are an increasingly popular technique for visualizing large datasets co...
Acquérir et traiter des données est de moins en moins coûteux, à la fois en matériel et en temps, ma...
We introduce a set of integrated interaction techniques to interpret and interrogate dimensionality-...
In recent years, many dimensionality reduction (DR) algorithms have been proposed for visual analysi...
International audienceWe propose Compadre, a tool for visual analysis for comparing distances of hig...
Random projection method is one of the important tools for the dimensionality reduction of data whic...
The research object of this work is multidimensional data visualization algorithms and methods that ...
AbstractThe embedding of high-dimensional data into 2D/3D space is the most popular way of data visu...
Dimensionality reduction techniques are the tools of choice for exploring high-dimensional datasets ...
Multidimensional scaling allows visualizing high-dimensional data as 2D maps with the premise that i...
In data science and visualization, dimensionality reduction techniques have been extensively employe...