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» Interactively Exploring Hierarchical Clustering Results
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70
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KDD
2002
ACM
193views Data Mining» more  KDD 2002»
15 years 9 months ago
Query, analysis, and visualization of hierarchically structured data using Polaris
In the last several years, large OLAP databases have become common in a variety of applications such as corporate data warehouses and scientific computing. To support interactive ...
Chris Stolte, Diane Tang, Pat Hanrahan
87
Voted
WACV
2005
IEEE
15 years 3 months ago
Ensemble Methods in the Clustering of String Patterns
We address the problem of clustering of contour images from hardware tools based on string descriptions, in a comparative study of cluster combination techniques. Several clusteri...
André Lourenço, Ana L. N. Fred
64
Voted
CHI
2003
ACM
15 years 9 months ago
Containers: a new hierarchical model for browser interfaces
The development of a low bandwidth, high error tolerant neural browser, called the BrainBrowser, has raised new navigational issues. With this paradigm shift of twodimensional spa...
Chad Owens
SIGGRAPH
1995
ACM
15 years 29 days ago
Feature-based control of visibility error: a multi-resolution clustering algorithm for global illumination
In this paper we introduce a new approach to controlling error in hierarchical clustering algorithms for radiosity. The new method ensures that just enough work is done to meet th...
François X. Sillion, George Drettakis
UIST
2004
ACM
15 years 2 months ago
Hierarchical parsing and recognition of hand-sketched diagrams
A long standing challenge in pen-based computer interaction is the ability to make sense of informal sketches. A main difficulty lies in reliably extracting and recognizing the i...
Levent Burak Kara, Thomas F. Stahovich