On the public citation graph

The Grassmannian Atlas: A General Framework for Exploring Linear Projections of High‐Dimensional Data

https://doi.org/10.1111/cgf.12876
0 signed · 46 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1002/0470013192.bsa501openalex-snapshot
Principal Component Analysis
inferredcites →https://doi.org/10.1007/0-387-28981-xopenalex-snapshot
Modern multidimensional scaling : theory and applications
inferredcites →https://doi.org/10.1007/978-1-4757-2189-8openalex-snapshot
Algebraic Geometry
inferredcites →https://doi.org/10.1016/j.neucom.2012.11.046openalex-snapshot
Visualizing the quality of dimensionality reduction
inferredcites →https://doi.org/10.1016/s0167-9473(02)00286-4openalex-snapshot
GGobi: evolving from XGobi into an extensible framework for interactive data visualization
inferredcites →https://doi.org/10.1057/palgrave.ivs.9500053openalex-snapshot
Coordinating Computational and Visual Approaches for Interactive Feature Selection and Multivariate Clustering
inferredcites →https://doi.org/10.1057/palgrave.ivs.9500091openalex-snapshot
A Rank-by-Feature Framework for Interactive Exploration of Multidimensional Data
inferredcites →https://doi.org/10.1080/10618600.1993.10474610openalex-snapshot
Projection Pursuit Indexes Based on Orthonormal Function Expansions
inferredcites →https://doi.org/10.1109/infovis.2005.14openalex-snapshot
Graph-Theoretic Scagnostics
inferredcites →https://doi.org/10.1109/infvis.2005.1532142openalex-snapshot
Graph-theoretic scagnostics
inferredcites →https://doi.org/10.1109/ldav.2014.7013202openalex-snapshot
Multivariate volume visualization through dynamic projections
inferredcites →https://doi.org/10.1109/msp.2010.939739openalex-snapshot
Subspace Clustering
inferredcites →https://doi.org/10.1109/t-c.1974.224051openalex-snapshot
A Projection Pursuit Algorithm for Exploratory Data Analysis
inferredcites →https://doi.org/10.1109/tvcg.2006.50openalex-snapshot
Knowledge discovery in high-dimensional data: case studies and a user survey for the rank-by-feature framework
inferredcites →https://doi.org/10.1109/tvcg.2006.94openalex-snapshot
High-Dimensional Visual Analytics: Interactive Exploration Guided by Pairwise Views of Point Distributions
inferredcites →https://doi.org/10.1109/tvcg.2008.153openalex-snapshot
Rolling the Dice: Multidimensional Visual Exploration using Scatterplot Matrix Navigation
inferredcites →https://doi.org/10.1109/tvcg.2010.213openalex-snapshot
Visual Exploration of High Dimensional Scalar Functions
inferredcites →https://doi.org/10.1109/tvcg.2011.229openalex-snapshot
Quality Metrics in High-Dimensional Data Visualization: An Overview and Systematization
inferredcites →https://doi.org/10.1109/tvcg.2011.244openalex-snapshot
Topological Spines: A Structure-preserving Visual Representation of Scalar Fields
inferredcites →https://doi.org/10.1109/tvcg.2015.2467132openalex-snapshot
Optimal Sets of Projections of High-Dimensional Data
inferredcites →https://doi.org/10.1109/vast.2012.6400488openalex-snapshot
Subspace search and visualization to make sense of alternative clusterings in high-dimensional data
inferredcites →https://doi.org/10.1111/cgf.12366openalex-snapshot
Distortion‐Guided Structure‐Driven Interactive Exploration of High‐Dimensional Data
inferredcites →https://doi.org/10.1111/j.1745-3984.2003.tb01108.xopenalex-snapshot
Modern Multidimensional Scaling: Theory and Applications
inferredcites →https://doi.org/10.1137/0906011openalex-snapshot
The Grand Tour: A Tool for Viewing Multidimensional Data
inferredcites →https://doi.org/10.1145/312129.312199openalex-snapshot
Entropy-based subspace clustering for mining numerical data
inferredcites →https://doi.org/10.1198/106186005x77702openalex-snapshot
Projection Pursuit for Exploratory Supervised Classification
inferredcites →https://doi.org/10.1198/106186008x318440openalex-snapshot
Data Visualization With Multidimensional Scaling
inferredcites →https://doi.org/10.2307/1390644openalex-snapshot
Projection Pursuit Indexes Based on Orthonormal Function Expansions
inferredcites →https://doi.org/10.48550/arxiv.math-ph/0609050openalex-snapshot
How to generate random matrices from the classical compact groups
inferredcites →https://doi.org/10.5555/1283383.1283494openalex-snapshot
k-means++: the advantages of careful seeding
inferredcites →https://doi.org/10.56021/9781421407944openalex-snapshot
Matrix Computations
inferredcites →https://doi.org/10.5860/choice.30-5053aopenalex-snapshot
Algebraic geometry: a first course

What points at this work

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

inferred← citeshttps://doi.org/10.1007/s12650-017-0431-9openalex-snapshot
Frontier of Information Visualization and Visual Analytics in 2016
inferred← citeshttps://doi.org/10.1007/s12650-018-0531-1openalex-snapshot
Recent research advances on interactive machine learning
inferred← citeshttps://doi.org/10.1016/j.jvlc.2018.08.003openalex-snapshot
Exploring linear projections for revealing clusters, outliers, and trends in subsets of multi-dimensional datasets
inferred← citeshttps://doi.org/10.1109/cvprw.2017.98openalex-snapshot
Poisson Disk Sampling on the Grassmannnian: Applications in Subspace Optimization
inferred← citeshttps://doi.org/10.1109/pacificvis48177.2020.8199openalex-snapshot
Efficient Morphing of Shape-preserving Star Coordinates
inferred← citeshttps://doi.org/10.1109/pacificvis56936.2023.00021openalex-snapshot
Feature Learning for Nonlinear Dimensionality Reduction toward Maximal Extraction of Hidden Patterns
inferred← citeshttps://doi.org/10.1109/tvcg.2017.2705189openalex-snapshot
The LloydRelaxer: An Approach to Minimize Scaling Effects for Multivariate Projections
inferred← citeshttps://doi.org/10.1109/tvcg.2019.2934812openalex-snapshot
Uncertainty-Aware Principal Component Analysis
inferred← citeshttps://doi.org/10.1109/tvcg.2020.3011155openalex-snapshot
Visual Analysis of Class Separations With Locally Linear Segments
inferred← citeshttps://doi.org/10.1109/tvcg.2020.3030432openalex-snapshot
Evaluation of Sampling Methods for Scatterplots
inferred← citeshttps://doi.org/10.1109/tvcg.2025.3634874openalex-snapshot
Interactive Composition Operators An Alternative Approach for Selecting Linear Embedding Parameters
inferred← citeshttps://doi.org/10.1111/cgf.13416openalex-snapshot
Exploring High‐Dimensional Structure via Axis‐Aligned Decomposition of Linear Projections
inferred← citeshttps://doi.org/10.1145/2993901.2993907openalex-snapshot
Generative Data Models for Validation and Evaluation of Visualization Techniques
inferred← citeshttps://doi.org/10.1145/3706598.3713551openalex-snapshot
Unveiling High-dimensional Backstage: A Survey for Reliable Visual Analytics with Dimensionality Reduction
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.