Visualization of Pairwise Data: An Overview

It is difficult for some applications to extract feature functions in the process of data visualization. Focus on the problem of large-scale pairwise data visualization, the paper first introduces and analysis the problem. Then the current mainstream methods for pairwise data visualization are analyzed. On the basis of active learning and configuration suture, the paper proposes a fast visualization method. The overall research framework, the key technologies are presented to provide some research ideas and recommendations for pairwise data visualization.

• Publication year

  2018

• Venue

  International Conference on Data Science in Cyberspace

• Publication date

  2018-06-01

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1109/DSC.2018.00116
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Wireless Communications: Principles and Practice (2nd Edition) by

  2012cited by this paper
• A Novel Approach for Measuring Chinese Terms Semantic Similarity Based on Pairwise Sequence Alignment

  2009cited by this paper
• BMC Bioinformatics BioMed Central Methodology article Multidimensional scaling for large genomic data sets

  2008cited by this paper
• A new suffix tree similarity measure for document clustering

  2007cited by this paper
• Clustering by Passing Messages Between Data Points

  2007cited by this paper
• Visualizing Proximity Data

  2007cited by this paper
• Robust distributed network localization with noisy range measurements

  2004cited by this paper
• Modeling 3D objects from range maps and color images using a warping- based approach

  2003cited by this paper
• Optimal Cluster Preserving Embedding of Nonmetric Proximity Data

  2003cited by this paper
• Proximity visualisation of abstract data

  2001cited by this paper
• Active learning for hierarchical pairwise data clustering

  2000cited by this paper
• Data Mining: Concepts and Techniques

  2000cited by this paper
• Time Warps, String Edits, and Macromolecules – The Theory and Practice of Sequence Comparison . David Sankoff and Joseph Kruskal. ISBN 1-57586-217-4. Price £13.95 (US$22·95).

  2000cited by this paper
• Incremental multidimensional scaling method for database visualization

  1999cited by this paper
• Active Data Clustering

  1997cited by this paper
• Wireless Communications: Principles and Practice

  1996cited by this paper
• Drawing graphs nicely using simulated annealing

  1996cited by this paper
• The Effect of Graph Layout on Inference from Social Network Data

  1995cited by this paper
• Graph drawing by force‐directed placement

  1991cited by this paper
• Relational similarity and the nonindependence of features in similarity judgments.

  1991cited by this paper
• A Heuristic for Graph Drawing

  1984cited by this paper
• A vector space model for automatic indexing

  1975cited by this paper
• Theory and Methods of Scaling.

  1958cited by this paper
• Discussion of a set of points in terms of their mutual distances

  1938cited by this paper

• No citing papers are available for this paper.