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APWEB
2006
Springer
15 years 8 months ago
Generalized Projected Clustering in High-Dimensional Data Streams
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...
Ting Wang
118
Voted
CIMCA
2005
IEEE
15 years 10 months ago
Modeling the Cross-Cultural Adaptation Process of Immigrants Using Categorical Data Clustering
— This paper introduces a quantitative method for social data analysis, which is based on the use of categorical data clustering. More specifically, we employ categorical data cl...
George E. Tsekouras
PAKDD
2010
ACM
158views Data Mining» more  PAKDD 2010»
15 years 9 months ago
Integrative Parameter-Free Clustering of Data with Mixed Type Attributes
Abstract. Integrative mining of heterogeneous data is one of the major challenges for data mining in the next decade. We address the problem of integrative clustering of data with ...
Christian Böhm, Sebastian Goebl, Annahita Osw...
NIPS
2008
15 years 6 months ago
Spectral Clustering with Perturbed Data
Spectral clustering is useful for a wide-ranging set of applications in areas such as biological data analysis, image processing and data mining. However, the computational and/or...
Ling Huang, Donghui Yan, Michael I. Jordan, Nina T...
130
Voted
CLUSTER
2006
IEEE
15 years 10 months ago
An Iteration Aware Multidimensional Data Distribution Prototype for Computing Clusters
Disk and network latency must be taken into account when applying parallel computing to large multidimensional datasets because they can hinder performance by reducing the rate at...
Baoqiang Yan, Philip J. Rhodes