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ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
15 years 10 months 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
CIDM
2007
IEEE
15 years 10 months ago
Distributed Document Clustering Using Word-clusters
−Document clustering has become an increasingly important task in analyzing huge numbers of documents distributed among various sites. The challenging aspect is to analyze this e...
Debzani Deb, Rafal A. Angryk
IJCAI
2007
15 years 5 months ago
An Improved Probabilistic Ant based Clustering for Distributed Databases
In this paper we present an improved version of the Probabilistic Ant based Clustering Algorithm for Distributed Databases (PACE). The most important feature of this algorithm is ...
Chandrasekar Ramachandran, Thanukrishnan Srinivasa...
ICTAI
2007
IEEE
15 years 10 months 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
ICDM
2002
IEEE
191views Data Mining» more  ICDM 2002»
15 years 8 months ago
Iterative Clustering of High Dimensional Text Data Augmented by Local Search
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
Inderjit S. Dhillon, Yuqiang Guan, J. Kogan