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Intelligently resolving point occlusion
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/bf00275687openalex-snapshot
Simplified neuron model as a principal component analyzer
inferredcites →https://doi.org/10.1007/bf00337288openalex-snapshot
Self-organized formation of topologically correct feature maps
inferredcites →https://doi.org/10.1016/0377-2217(96)00033-1openalex-snapshot
Heuristic and optimization approaches to extending the Kohonen self organizing algorithm
inferredcites →https://doi.org/10.1016/0893-6080(94)90091-4openalex-snapshot
Growing cell structures—A self-organizing network for unsupervised and supervised learning
inferredcites →https://doi.org/10.1080/01621459.1984.10478080openalex-snapshot
Graphical Perception: Theory, Experimentation, and Application to the Development of Graphical Methods
inferredcites →https://doi.org/10.1109/72.377962openalex-snapshot
A nonlinear projection method based on Kohonen's topology preserving maps
inferredcites →https://doi.org/10.1109/72.846743openalex-snapshot
Fast self-organizing feature map algorithm
inferredcites →https://doi.org/10.1109/ijcnn.1990.137727openalex-snapshot
Self-organizing hierarchical feature maps
inferredcites →https://doi.org/10.1109/visual.1990.146402openalex-snapshot
Parallel coordinates: a tool for visualizing multi-dimensional geometry
inferredcites →https://doi.org/10.1111/j.1469-1809.1936.tb02137.xopenalex-snapshot
THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Data Reduction in Multifunction OLAP
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Augmented Classical Self-organizing Map for Visualization of Discrete Data with Density Scaling
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Using Hybrid Scatterplots for Visualizing Multi-dimensional Data
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Virtual mastoidectomy performance evaluation through multi-volume analysis
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An approach for de-identification of point locations of livestock premises for further use in disease spread modeling
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Give Chance a Chance: Modeling Density to Enhance Scatter Plot Quality through Random Data Sampling
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High-Performance Visualization of Multi-Dimensional Gene Expression Data
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Histographs: Interactive Clustering of Stacked Graphs
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By chance is not enough: preserving relative density through nonuniform sampling
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Improving 2D Scatterplots Effectiveness through Sampling, Displacement, and User Perception
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2D and 3D Neural-Network Based Visualization of High-Dimensional Biomedical Data
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hSOM: Visualizing Self-Organizing Maps to Accomodate Categorical Data
inferred← citeshttps://doi.org/10.1109/iv64223.2024.00013openalex-snapshot
A Review of Techniques for Reducing Shortcomings in Classical Information Visualization Charts
inferred← citeshttps://doi.org/10.1109/pacificvis.2014.13openalex-snapshot
Non-overlapping Aggregated Multivariate Glyphs for Moving Objects
inferred← citeshttps://doi.org/10.1109/tvcg.2007.70535openalex-snapshot
A Taxonomy of Clutter Reduction for Information Visualisation
inferred← citeshttps://doi.org/10.1109/tvcg.2017.2785807openalex-snapshot
Atom: A Grammar for Unit Visualizations
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TPFlow: Progressive Partition and Multidimensional Pattern Extraction for Large-Scale Spatio-Temporal Data Analysis
inferred← citeshttps://doi.org/10.1109/tvcg.2019.2903956openalex-snapshot
Relaxing Dense Scatter Plots with Pixel-Based Mappings
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Kyrix-S: Authoring Scalable Scatterplot Visualizations of Big Data
inferred← citeshttps://doi.org/10.1109/tvcg.2021.3114804openalex-snapshot
VizLinter: A Linter and Fixer Framework for Data Visualization
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A Visual Analytics Approach to Debugging Cooperative, Autonomous Multi-Robot Systems’ Worldviews
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imMens: Real‐time Visual Querying of Big Data
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ConcaveCubes: Supporting Cluster‐based Geographical Visualization in Large Data Scale
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Sunspot Plots: Model‐based Structure Enhancement for Dense Scatter Plots
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Is it darker? Improving density representation in 2D scatter plots through a user study
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Reducing InfoVis cluttering through non uniform sampling, displacement, and user perception
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Parallel Execution of Self-Organized Visualization
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Passage à l'échelle pour la visualisation interactive exploratoire de données : approches par abstraction et par déformation spatiale
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