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» On the Complexity of Ordinal Clustering
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BIBE
2004
IEEE
107views Bioinformatics» more  BIBE 2004»
14 years 17 days ago
Enhanced pClustering and Its Applications to Gene Expression Data
Clustering has been one of the most popular methods to discover useful biological insights from DNA microarray. An interesting paradigm is simultaneous clustering of both genes an...
Sungroh Yoon, Christine Nardini, Luca Benini, Giov...
CORR
2010
Springer
81views Education» more  CORR 2010»
13 years 3 months ago
Analysis of Agglomerative Clustering
The diameter k-clustering problem is the problem of partitioning a finite subset of Rd into k subsets called clusters such that the maximum diameter of the clusters is minimized. ...
Marcel R. Ackermann, Johannes Blömer, Daniel ...
JMLR
2011
87views more  JMLR 2011»
13 years 3 months ago
CARP: Software for Fishing Out Good Clustering Algorithms
This paper presents the CLUSTERING ALGORITHMS’ REFEREE PACKAGE or CARP, an open source GNU GPL-licensed C package for evaluating clustering algorithms. Calibrating performance o...
Volodymyr Melnykov, Ranjan Maitra
KDD
2002
ACM
155views Data Mining» more  KDD 2002»
14 years 9 months ago
SyMP: an efficient clustering approach to identify clusters of arbitrary shapes in large data sets
We propose a new clustering algorithm, called SyMP, which is based on synchronization of pulse-coupled oscillators. SyMP represents each data point by an Integrate-and-Fire oscill...
Hichem Frigui
VLDB
1998
ACM
312views Database» more  VLDB 1998»
14 years 1 months ago
WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases
Many applications require the management of spatial data. Clustering large spatial databases is an important problem which tries to find the densely populated regions in the featu...
Gholamhosein Sheikholeslami, Surojit Chatterjee, A...