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» Expectation-MiniMax Approach to Clustering Analysis
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ISPASS
2006
IEEE
15 years 8 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
ISBI
2008
IEEE
16 years 2 months ago
A mathematical framework for incorporating anatomical knowledge in DT-MRI analysis
We propose a Bayesian approach to incorporate anatomical information in the clustering of fiber trajectories. An expectationmaximization (EM) algorithm is used to cluster the traj...
Carl-Fredrik Westin, Lilla Zöllei, Mahnaz Mad...
EMNLP
2004
15 years 3 months ago
Trained Named Entity Recognition using Distributional Clusters
This work applies boosted wrapper induction (BWI), a machine learning algorithm for information extraction from semi-structured documents, to the problem of named entity recogniti...
Dayne Freitag
INFORMATICALT
2010
103views more  INFORMATICALT 2010»
14 years 8 months ago
Multistage K-Means Clustering for Scenario Tree Construction
Abstract. In stochastic programming and decision analysis, an important issue consists in the approximate representation of the multidimensional stochastic underlying process in th...
Kristina Sutiene, Dalius Makackas, Henrikas Pranev...
SSDBM
2010
IEEE
153views Database» more  SSDBM 2010»
15 years 7 months ago
Scalable Clustering Algorithm for N-Body Simulations in a Shared-Nothing Cluster
Abstract. Scientists’ ability to generate and collect massive-scale datasets is increasing. As a result, constraints in data analysis capability rather than limitations in the av...
YongChul Kwon, Dylan Nunley, Jeffrey P. Gardner, M...