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high dimensional data visualization

High Performance Multidimensional Scaling for Large High Dimensional Data Visualization

High Performance Multidimensional Scaling for Large High Dimensional Data Visualization

... scientific data which are usually in high dimensional formats, and it is getting more important to analyze those large-scale high-dimensional ...for high-dimensional ...

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Scatterplot Layout for High-dimensional Data Visualization

Scatterplot Layout for High-dimensional Data Visualization

... Multi-dimensional data visualization is an important research topic that has been receiving increasing ...multi-dimensional data as a collection of two-dimensional data ...

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Efficient visualization for large-scale and high-dimensional single-cell data

Efficient visualization for large-scale and high-dimensional single-cell data

... own data quickly by enabling functionality like mouse-over, zoom, pan, brushing, and linking on the embedded ...color data by quantities of marker values as well as qualitative gate ...single-cell ...

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Focused multidimensional scaling: interactive visualization for exploration of high-dimensional data

Focused multidimensional scaling: interactive visualization for exploration of high-dimensional data

... dimension-reducing visualization of dis- tance data, be it from MDS, PCA, t-SNE, UMAP, or any other similar ...the data should be done using the full feature space data, not the ...

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Very Fast Interactive Visualization of Large Sets of High-dimensional Data

Very Fast Interactive Visualization of Large Sets of High-dimensional Data

... energy E (X) = V (Δ , d). Due to more extensive penetration of the stress function domain, the particle-based method allows for obtaining a better minimum (i.e., closer to the global one) that any other gradient-based ...

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Dimension Reduction and Visualization of Large High dimensional Data via Interpolation

Dimension Reduction and Visualization of Large High dimensional Data via Interpolation

... sample data size to 100k, and the interpolated data size is increased from one millions (1M) to four millions ...total data, ...100k data and the 1M interpolated results based on that 100k ...

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A Perceptual Visualization Assistant for Multi-Dimensional Data Visualization

A Perceptual Visualization Assistant for Multi-Dimensional Data Visualization

... a visualization, we must obtain high-level information about the dataset, and about the user’s preferences and analysis ...begins. Data collected from this process is translated into input ...

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Combining automated analysis and visualization techniques for effective exploration of high-dimensional data

Combining automated analysis and visualization techniques for effective exploration of high-dimensional data

... of data. Making use of these archives of data provides new challenges to analysis ...of data since the complexity and volume has ...The visualization of large complex information spaces ...

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New approaches for clustering high dimensional data

New approaches for clustering high dimensional data

... Though clustering is a data analysis tool, it is closely coupled with visualization in the follow- ing aspects. First, clusters of SSCs are reflected in both the dissimilarity view and the point cloud view. ...

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A new approach for data visualization problem

A new approach for data visualization problem

... ata visualization is a graphical presentation of multidimensional data making use of humans’ natural visual ...specifically, data visualization reveals relationships in data sets that ...

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SEURAT: Visual analytics for the integrated analysis of microarray data

SEURAT: Visual analytics for the integrated analysis of microarray data

... different data types, visualizations are lim- ited to stand alone graphics, not linked to other displays such as clustering results or summary statistics of clinical ...different data sets, we follow the ...

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Visualization of Large High Dimensional Data via Interpolation Approach of Multidimensional Scaling

Visualization of Large High Dimensional Data via Interpolation Approach of Multidimensional Scaling

... out-of-sample data. The 50k sample data is selected randomly from the given 100k data set, so it is reasonable that the sampled 50k data and out-of-sample 50k show similar ...sampled ...

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Visualization of Large High Dimensional Data via Interpolation Approach of Multidimensional Scaling

Visualization of Large High Dimensional Data via Interpolation Approach of Multidimensional Scaling

... Before we analyze the optimal number of nearest neighbors for the proposed MI-MDS method with the given Pubchem dataset, I would like to mention how the proposed MI-MDS solves the mapping ambiguity problem when k = 2, 3 ...

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High Performance Dimension Reduction and Visualization for Large High dimensional Data Analysis

High Performance Dimension Reduction and Visualization for Large High dimensional Data Analysis

... There are important problems for which the data set size is too large for even our parallel algorithms to be practical. Because of this, we are now developing interpolation ap- proaches for both algorithms. Here ...

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Deterministic Annealing Dimension Reduction and Biology

Deterministic Annealing Dimension Reduction and Biology

... • Need is pervasive – Large and high dimensional data are everywhere: biology, physics, Internet, … – Visualization can help data analysis • Visualization of large datasets with high per[r] ...

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Three-dimensional Radial Visualization of High-dimensional Continuous or Discrete Data

Three-dimensional Radial Visualization of High-dimensional Continuous or Discrete Data

... multidimensional data is by radial visualization or RadViz [26, 27, 28, 29] that projects data onto a circle using Hooke’s ...p- dimensional observations are projected onto the 2D plane using ...

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Cloud Technologies and Their Applications

Cloud Technologies and Their Applications

... Need is pervasive – Large and high dimensional data are everywhere: biology, physics, Internet, … – Visualization can help data analysis Visualization of large datasets with high perform[r] ...

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Implications of Clouds for Data Intensive Science with application to Biomedical Science

Implications of Clouds for Data Intensive Science with application to Biomedical Science

... Need is pervasive – Large and high dimensional data are everywhere: biology, physics, Internet, … – Visualization can help data analysis Visualization of large datasets with high perform[r] ...

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Hybrid Cloud and Cluster Computing Paradigms for Scalable Data Intensive Applications

Hybrid Cloud and Cluster Computing Paradigms for Scalable Data Intensive Applications

... Need is pervasive – Large and high dimensional data are everywhere: biology, physics, Internet, … – Visualization can help data analysis Visualization of large datasets with high perform[r] ...

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Deterministic Annealing and Robust Scalable Data mining for the Data Deluge

Deterministic Annealing and Robust Scalable Data mining for the Data Deluge

... Need is pervasive – Large and high dimensional data are everywhere: biology, physics, Internet, … – Visualization can help data analysis Visualization of large datasets with high perform[r] ...

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