Coordinating Computational and Visual Approaches for Interactive Feature Selection and Multivariate Clustering
By Diansheng Guo. 2003
120 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Representation & Self-Supervised Learning, Signal Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Jin Chen
- Ke Liao
- Alan M. MacEachren
- Jeffrey Heer
- Joseph M Hellerstein
- Andreas Paepcke
- Ravi Parikh
- Sean Kandel
In Computer Vision and Pattern Recognition
- Alan M. MacEachren
- Jin Chen
- Ke Liao
- Jeffrey Heer
- Sean Kandel
- Joseph M Hellerstein
- Andreas Paepcke
- Ravi Parikh
In Representation & Self-Supervised Learning
- Alan M. MacEachren
- Jin Chen
- Ke Liao
- Joseph M Hellerstein
- Andreas Paepcke
- Jeffrey Heer
- Ravi Parikh
- Sean Kandel
In Signal Processing
- Jeffrey Heer
- Alan M. MacEachren
- Jin Chen
- Ke Liao
- Sean Kandel
- Joseph M Hellerstein
- Ravi Parikh
- Andreas Paepcke
Citations in the corpus
- A Visualization System for Space-Time and Multivariate Patterns (VIS-STAMP) (2006, methodology): “Our system is designed to be flexible and support the use of different clustering methods (e.g., [22]).”
- Profiler: integrated statistical analysis and visualization for data quality assessment (2012, methodology): “Others have used dimensionality reduction, clustering and sorting to aid visualization of multidimensional data [8, 11, 37].”