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JAIR
2010
94views more  JAIR 2010»
14 years 8 months ago
Which Clustering Do You Want? Inducing Your Ideal Clustering with Minimal Feedback
While traditional research on text clustering has largely focused on grouping documents by topic, it is conceivable that a user may want to cluster documents along other dimension...
Sajib Dasgupta, Vincent Ng
63
Voted
HICSS
2006
IEEE
138views Biometrics» more  HICSS 2006»
15 years 3 months ago
Explaining ICT Infrastructure and E-Commerce Uses and Benefits in Industrial Clusters: Evidence from a Biotech Cluster
The literature on industrial clusters has not focused heavily on the role of the ICT infrastructure, nor on the potential implications of electronic commerce . In this paper, we e...
Charles Steinfield, Ada Scupola
ISPASS
2006
IEEE
15 years 3 months ago
Comparing multinomial and k-means clustering for SimPoint
SimPoint is a technique used to pick what parts of the program’s execution to simulate in order to have a complete picture of execution. SimPoint uses data clustering algorithms...
Greg Hamerly, Erez Perelman, Brad Calder
ICPR
2006
IEEE
15 years 10 months ago
Bayesian Feedback in Data Clustering
In many clustering applications, the user has some vague notion of the number and membership of the desired clusters. However, it is difficult for the user to provide such knowled...
Anil K. Jain, Pavan Kumar Mallapragada, Martin H. ...
ML
2006
ACM
14 years 9 months ago
A Unified View on Clustering Binary Data
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Tao Li