Ads
related to: visualizing high dimensional data using t sne c pdf editor free download for windows 10sodapdf.com has been visited by 100K+ users in the past month
pdf-editor.pdffiller.com has been visited by 1M+ users in the past month
pdfguru.com has been visited by 1M+ users in the past month
thebestpdf.com has been visited by 100K+ users in the past month
Search results
Results From The WOW.Com Content Network
t-distributed stochastic neighbor embedding (t-SNE) is a statistical method for visualizing high-dimensional data by giving each datapoint a location in a two or three-dimensional map. It is based on Stochastic Neighbor Embedding originally developed by Geoffrey Hinton and Sam Roweis, [ 1 ] where Laurens van der Maaten and Hinton proposed the t ...
Nonlinear dimensionality reduction, also known as manifold learning, is any of various related techniques that aim to project high-dimensional data, potentially existing across non-linear manifolds which cannot be adequately captured by linear decomposition methods, onto lower-dimensional latent manifolds, with the goal of either visualizing ...
T-distributed Stochastic Neighbor Embedding (t-SNE) is a nonlinear dimensionality reduction technique useful for the visualization of high-dimensional datasets. It is not recommended for use in analysis such as clustering or outlier detection since it does not necessarily preserve densities or distances well. [18]
Desktop publishing suite with PDF viewing, editing and creation features PaperPort: Proprietary: No: Desktop publishing suite with PDF viewing, editing and creation features PDFCreator: GNU GPL/Proprietary: Yes: Virtual printer for Windows using a custom license called FairPlay. Used Ghostscript GPL until v1.7.3. Now uses .NET Framework 4 ...
Amira (ah-MEER-ah) is a software platform for visualization, processing, and analysis of 3D and 4D data. It is being actively developed by Thermo Fisher Scientific in collaboration with the Zuse Institute Berlin (ZIB), and commercially distributed by Thermo Fisher Scientific — together with its sister software Avizo.
The primary methods for visualizing two-dimensional (2D) scalar fields are color mapping and drawing contour lines. 2D vector fields are visualized using glyphs and streamlines or line integral convolution methods. 2D tensor fields are often resolved to a vector field by using one of the two eigenvectors to represent the tensor each point in ...