Interactively Exploring Hierarchical Clustering Results
By Jinwook Seo, Ben Shneiderman. Computer, 2002
385 citations recorded by the source corpus.
Subfields: Information Systems, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/47b57ff66c178171f4cf0b2d0fd0a87a27384580
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems
- Shi Zhong
- Chris North
- Jean-Daniel Fekete
- Jörn Kohlhammer
- Niklas Elmqvist
- John F. Canny
- Karen Duca
- Purvi Saraiya
In Molecular Biology
- Shi Zhong
- Chris North
- Reinhard Schneider
- B. Kuster
- John F. Canny
- S. Kossida
- Charalampos N. Moschopoulos
- Karen Duca
Citations in the corpus
- A Unified Framework for Model-based Clustering (2003, background): “Moreover, sometimes one prefers the clustering algorithm to return a series of nested clusterings for interactive analysis (Seo and Shneiderman , 2002).”
- Mastering the Information Age - Solving Problems with Visual Analytics (2010, background): “HCE[96] is one example specialised for biological applications.”
- Rolling the Dice: Multidimensional Visual Exploration using Scatterplot Matrix Navigation (2008, background): “Theron [32] integrates axis-filtering [27] in a a special-purpose parallel coordinate display.”
- Interactive Machine Learning via a GPU-accelerated Toolkit (2017, methodology): “In [14, 32], the authors used visualizations to rapidly explore the results of a clustering algorithm, and these approaches have become important tools in computational biology [14].”
- Using graph theory to analyze biological networks (2011, methodology): “Known platforms that already share the tree-based algorithms described above are the Hierarchical Clustering Explorer (HCE) [122,123], MEGA [124-127] or TM4 [128].”
- An insight-based methodology for evaluating bioinformatics visualizations (2005, methodology): “Fig. 3. HCE [ 39 ] visualization of the Lupus data set.”
- High-fat diet alters gut microbiota physiology in mice (2013, methodology): “The filtered matrix was analyzed using Hierarchical Clustering Explorer (College Park, MD, USA) (Seo and Shneiderman, 2002) for unsupervised multivariate data analysis and MultiExperiment Viewer (Saeed et al., 2006) for calculation of significant masses by two-tailed Student’s t-test (adjusted P-val”