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ICPR
2008
IEEE
15 years 11 months ago
Online adaptive clustering in a decision tree framework
We present an online adaptive clustering algorithm in a decision tree framework which has an adaptive tree and a code formation layer. The code formation layer stores the represen...
Jayanta Basak
ACIVS
2008
Springer
15 years 11 months ago
Knee Point Detection in BIC for Detecting the Number of Clusters
Bayesian Information Criterion (BIC) is a promising method for detecting the number of clusters. It is often used in model-based clustering in which a decisive first local maximum ...
Qinpei Zhao, Ville Hautamäki, Pasi Fränt...
135
Voted
ICCV
2005
IEEE
15 years 10 months ago
A Unifying Approach to Hard and Probabilistic Clustering
We derive the clustering problem from first principles showing that the goal of achieving a probabilistic, or ”hard”, multi class clustering result is equivalent to the algeb...
Ron Zass, Amnon Shashua
CLUSTER
2003
IEEE
15 years 10 months ago
A Distributed Performance Analysis Architecture for Clusters
The use of a cluster for distributed performance analysis of parallel trace data is discussed. We propose an analysis architecture that uses multiple cluster nodes as a server to ...
Holger Brunst, Wolfgang E. Nagel, Allen D. Malony
129
Voted
EUROPAR
2004
Springer
15 years 10 months ago
Task-Queue Based Hybrid Parallelism: A Case Study
Abstract. In this paper we report on our experiences with hybrid parallelism in PARDISO, a high-performance sparse linear solver. We start with the OpenMP-parallel numerical factor...
Karl Fürlinger, Olaf Schenk, Michael Hagemann