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ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
16 years 22 days ago
Incremental Subspace Clustering over Multiple Data Streams
Data streams are often locally correlated, with a subset of streams exhibiting coherent patterns over a subset of time points. Subspace clustering can discover clusters of objects...
Qi Zhang, Jinze Liu, Wei Wang 0010
ICTAI
2007
IEEE
16 years 22 days ago
Conceptual Clustering Categorical Data with Uncertainty
Many real datasets have uncertain categorical attribute values that are only approximately measured or imputed. Uncertainty in categorical data is commonplace in many applications...
Yuni Xia, Bowei Xi
ADBIS
2007
Springer
132views Database» more  ADBIS 2007»
16 years 18 days ago
Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
Rayner Alfred, Dimitar Kazakov
GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
16 years 17 days ago
Kernel based automatic clustering using modified particle swarm optimization algorithm
This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...
Ajith Abraham, Swagatam Das, Amit Konar
ICMCS
2006
IEEE
94views Multimedia» more  ICMCS 2006»
16 years 14 days ago
Semantic Labeling of Multimedia Content Clusters
In this paper we present a novel approach for labeling clusters of multimedia content that leverages supervised classification techniques in conjunction with unsupervised cluster...
Jelena Tesic, John R. Smith