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ICPR
2008
IEEE
15 years 6 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 6 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...
ICCV
2005
IEEE
15 years 5 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 5 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 3 days 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