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ICPR
2008
IEEE
16 years 27 days 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
16 years 25 days 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...
ICCV
2005
IEEE
16 years 2 days 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 11 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
KDD
2002
ACM
122views Data Mining» more  KDD 2002»
16 years 6 months ago
Hierarchical model-based clustering of large datasets through fractionation and refractionation
The goal of clustering is to identify distinct groups in a dataset. Compared to non-parametric clustering methods like complete linkage, hierarchical model-based clustering has th...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle