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» Finding Groups in Data: Cluster Analysis with Ants
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ICSE
1999
IEEE-ACM
13 years 11 months ago
Identifying Objects Using Cluster and Concept Analysis
Many approaches to support (semi-automatic) identification of objects in legacy code take the data structures as starting point for candidate classes. Unfortunately, legacy data ...
Arie van Deursen, Tobias Kuipers
ICCV
2011
IEEE
12 years 6 months ago
iGroup : Weakly supervised image and video grouping
We present a generic, efficient and iterative algorithm for interactively clustering classes of images and videos. The approach moves away from the use of large hand labelled tra...
Andrew Gilbert, Richard Bowden
BMCBI
2006
147views more  BMCBI 2006»
13 years 6 months ago
Grouping Gene Ontology terms to improve the assessment of gene set enrichment in microarray data
Background: Gene Ontology (GO) terms are often used to assess the results of microarray experiments. The most common way to do this is to perform Fisher's exact tests to find...
Alex Lewin, Ian C. Grieve
PVLDB
2008
116views more  PVLDB 2008»
13 years 6 months ago
Anonymizing bipartite graph data using safe groupings
Private data often comes in the form of associations between entities, such as customers and products bought from a pharmacy, which are naturally represented in the form of a larg...
Graham Cormode, Divesh Srivastava, Ting Yu, Qing Z...
IPPS
2006
IEEE
14 years 23 days ago
Coterminous locality and coterminous group data prefetching on chip-multiprocessors
Due to shared cache contentions and interconnect delays, data prefetching is more critical in alleviating penalties from increasing memory latencies and demands on Chip-Multiproce...
Xudong Shi, Zhen Yang, Jih-Kwon Peir, Lu Peng, Yen...