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PKDD
2010
Springer
166views Data Mining» more  PKDD 2010»
13 years 6 months ago
A Cluster-Level Semi-supervision Model for Interactive Clustering
Abstract. Semi-supervised clustering models, that incorporate user provided constraints to yield meaningful clusters, have recently become a popular area of research. In this paper...
Avinava Dubey, Indrajit Bhattacharya, Shantanu God...
ICDE
2007
IEEE
148views Database» more  ICDE 2007»
14 years 9 months ago
Conquering the Divide: Continuous Clustering of Distributed Data Streams
Data is often collected over a distributed network, but in many cases, is so voluminous that it is impractical and undesirable to collect it in a central location. Instead, we mus...
Graham Cormode, S. Muthukrishnan, Wei Zhuang
ESA
2006
Springer
125views Algorithms» more  ESA 2006»
13 years 11 months ago
Region-Restricted Clustering for Geographic Data Mining
Joachim Gudmundsson, Marc J. van Kreveld, Giri Nar...
CSDA
2008
128views more  CSDA 2008»
13 years 8 months ago
Assessing agreement of clustering methods with gene expression microarray data
In the rapidly evolving field of genomics, many clustering and classification methods have been developed and employed to explore patterns in gene expression data. Biologists face...
Xueli Liu, Sheng-Chien Lee, George Casella, Gary F...
CORR
2010
Springer
103views Education» more  CORR 2010»
13 years 8 months ago
Exploratory Analysis of Functional Data via Clustering and Optimal Segmentation
We propose in this paper an exploratory analysis algorithm for functional data. The method partitions a set of functions into K clusters and represents each cluster by a simple pr...
Georges Hébrail, Bernard Hugueney, Yves Lec...