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ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
14 years 2 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
ADBIS
2007
Springer
132views Database» more  ADBIS 2007»
14 years 2 months 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
CLUSTER
2003
IEEE
14 years 1 months ago
A Case Study of Parallel I/O for Biological Sequence Search on Linux Clusters
In this paper we analyze the I/O access patterns of a widely-used biological sequence search tool and implement two variations that employ parallel-I/O for data access based on PV...
Yifeng Zhu, Hong Jiang, Xiao Qin, David R. Swanson
ICMLA
2004
13 years 9 months ago
RAIN: data clustering using randomized interactions between data points
Abstract-- This paper introduces a generalization of the Gravitational Clustering Algorithm proposed by Gomez et all in [1]. First, it is extended in such a way that not only the G...
Jonatan Gómez, Olfa Nasraoui, Elizabeth Leo...
ICML
2001
IEEE
14 years 8 months ago
Constrained K-means Clustering with Background Knowledge
Clustering is traditionally viewed as an unsupervised method for data analysis. However, in some cases information about the problem domain is available in addition to the data in...
Kiri Wagstaff, Claire Cardie, Seth Rogers, Stefan ...