Topological methods in data analysis...
TopoInVis (Workshop) (2019 :)

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  • Topological methods in data analysis and visualization.. VI,. Theory, applications, and software
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Topological methods in data analysis and visualization./ edited by Ingrid Hotz ... [et al.].
    remainder title: Theory, applications, and software
    other author: Hotz, Ingrid.
    corporate name: TopoInVis (Workshop)
    Published: Cham :Springer International Publishing : : 2021.,
    Description: xi, 373 p. :ill., digital ;24 cm.
    [NT 15003449]: Scalar Field Topology-Algorithms and Applications -- W-Structures in Contour Trees -- Treemap Based Exploration of Merge Trees -- Notes on Percolation Analysis of Sampled Scalar Fields -- Distributed Task-Parallel Topology-Controlled Volume Rendering -- Topology-Based Tracking of Multi-Center Cyclones -- Using Contour Trees in the Analysis and Visualization of Radio Astronomy Data Cubes -- Topological Methods in Complex Fields-Flow Fields, Tensor Fields, and Multi-fields -- Objective Finite-Time Flow Topology from Flowmap Expansion and Contraction -- Coreline Criteria for Inertial Particle Motion -- Implicit Visualization of 2D Vector Field Topology for Periodic Orbit Detection -- Visually Evaluating Topological Equivalence of Bounded Bivariate Fields -- Topological Feature Search in Time-Varying Multifield Data -- Tensor Fields for Data Extraction from Chart Images: Bar Charts, Histograms, and Scatter Plots -- Topology for Geometric Data -- A Fast Approximate Skeleton with Guarantees for Any Cloud of Points in a Euclidean Space -- Topologically Robust B-Spline Reconstruction of Fibers from 3D Images -- Introduction to Vector Field Topology -- An Overview of the Topology ToolKit -- Implementing Persistence-Based Clustering of Point Clouds in the Topology ToolKit -- TopoInVis TTK Hackathon: Experiences, Lessons Learned, and Perspectives.
    Contained By: Springer Nature eBook
    Subject: Topology - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-030-83500-2
    ISBN: 9783030835002
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