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» From Comparing Clusterings to Combining Clusterings
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SIGIR
2000
ACM
14 years 1 months ago
An investigation of linguistic features and clustering algorithms for topical document clustering
We investigate four hierarchical clustering methods (single-link, complete-link, groupwise-average, and single-pass) and two linguistically motivated text features (noun phrase he...
Vasileios Hatzivassiloglou, Luis Gravano, Ankineed...
ICIP
2006
IEEE
14 years 10 months ago
Content-Adaptive Video Summarization Combining Queueing and Clustering
This paper presents an efficient three-step algorithm to compute key frames for summarization and indexing of digital videos. In the preprocessing step, we remove the video frames...
Tiecheng Liu, Ravi Katpelly
PVLDB
2010
151views more  PVLDB 2010»
13 years 7 months ago
Scalable Discovery of Best Clusters on Large Graphs
The identification of clusters, well-connected components in a graph, is useful in many applications from biological function prediction to social community detection. However, ...
Kathy Macropol, Ambuj K. Singh
BMCBI
2010
156views more  BMCBI 2010»
13 years 9 months ago
Comparative classification of species and the study of pathway evolution based on the alignment of metabolic pathways
Background: Pathways provide topical descriptions of cellular circuitry. Comparing analogous pathways reveals intricate insights into individual functional differences among speci...
Adi Mano, Tamir Tuller, Oded Béjà, R...
CVPR
2012
IEEE
11 years 11 months ago
Active image clustering: Seeking constraints from humans to complement algorithms
We propose a method of clustering images that combines algorithmic and human input. An algorithm provides us with pairwise image similarities. We then actively obtain selected, mo...
Arijit Biswas, David W. Jacobs