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Steerable, Progressive Multidimensional Scaling

https://doi.org/10.1109/infvis.2004.60

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Self-Organizing Maps

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Multidimensional Scaling: I. Theory and Method

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Multidimensional Scaling by Optimizing Goodness of Fit to a Nonmetric Hypothesis

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Fast Multidimensional Scaling Through Sampling, Springs and Interpolation

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Visualization of High-Dimensional Data with Relational Perspective Map

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A Visual Workspace for Constructing Hybrid Multidimensional Scaling Algorithms and Coordinating Multiple Views

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Visualizing the non-visual: spatial analysis and interaction with information from text documents

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Cluster stability and the use of noise in interpretation of clustering

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Case study: visualizing sets of evolutionary trees

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A hybrid layout algorithm for sub-quadratic multidimensional scaling

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A linear iteration time layout algorithm for visualising high-dimensional data

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Incremental multidimensional scaling method for database visualization

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A Global Geometric Framework for Nonlinear Dimensionality Reduction

inferredcites →https://doi.org/10.1126/science.290.5500.2323openalex-snapshot

Nonlinear Dimensionality Reduction by Locally Linear Embedding

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Introduction to Multivariate Network Visualization

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Visualisation Techniques for Users and Designers of Layout Algorithms

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Graph Optimization Approach to Range-Based Localization

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Comparison of Japan and OECD Countries in Terms of Well-Being Resources

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WEB APPLICATION FOR LARGE-SCALE MULTIDIMENSIONAL DATA VISUALIZATION

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Visualization of High-Dimensional Data with Polar Coordinates

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Interaction in Progressive Visual Analytics : an application to progressive sequential pattern mining

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