Now showing items 1-10 of 3332
Improvement of nitrate and nitrite reduction rates prediction
(Pontificia Universidad Católica de Valparaíso, 2008)
Explaining dimensionality reduction results using Shapley values
Dimensionality reduction (DR) techniques have been consistently supporting high-dimensional data analysis in various applications. Besides the patterns uncovered by these techniques, the interpretation of DR results based ...
Contrastive analysis for scatterplot-based representations of dimensionality reduction
Cluster interpretation after dimensionality reduction (DR) is a ubiquitous part of exploring multidimensional datasets. DR results are frequently represented by scatterplots, where spatial proximity encodes similarity among ...
Visual analysis of dimensionality reduction quality for parameterized projections
(Pergamon-Elsevier ScienceOxford, 2014-06)
In recent years, many dimensionality reduction (DR) algorithms have been proposed for visual analysis of multidimensional data. Given a set of n-dimensional observations, such algorithms create a 2D or 3D projection thereof ...
Two-Phase Mapping for Projecting Massive Data Sets
(IEEE COMPUTER SOC, 2010)
Most multidimensional projection techniques rely on distance (dissimilarity) information between data instances to embed high-dimensional data into a visual space. When data are endowed with Cartesian coordinates, an extra ...
Radar Noise Reduction Based on Binary Integration
Short range radars can provide robust information about their surroundings under atmospheric disturbances, such as dust, rain, and snow, conditions under which most other sensing technologies fail. However, this information ...
How optimizing perplexity can affect the dimensionality reduction on word embeddings visualization?
Traditional word embeddings approaches, such as bag-of-words models, tackles the problem of text data representation by linking words in a document to a binary vector, marking their occurrence or not. Additionally, a term ...
Carbothermal Reduction of Iron Ore Applying Microwave Energy
This paper presents the results of a study on carbothermal reduction of iron ore made under the microwave field in equipment specially developed for this purpose. The equipment allows the control of radiated and reflected ...
Semi-supervised dimensionality reduction based on partial least squares for visual analysis of high dimensional data
Dimensionality reduction is employed for visual data analysis as a way to obtaining reduced spaces for high dimensional data or to mapping data directly into 2D or 3D spaces. Although techniques have evolved to improve ...