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ICDE
1999
IEEE
183views Database» more  ICDE 1999»
14 years 7 months ago
ROCK: A Robust Clustering Algorithm for Categorical Attributes
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim
BMCBI
2007
135views more  BMCBI 2007»
13 years 5 months ago
Measuring similarities between gene expression profiles through new data transformations
Background: Clustering methods are widely used on gene expression data to categorize genes with similar expression profiles. Finding an appropriate (dis)similarity measure is crit...
Kyungpil Kim, Shibo Zhang, Keni Jiang, Li Cai, In-...
ICDE
2007
IEEE
165views Database» more  ICDE 2007»
14 years 7 months ago
Distance Based Subspace Clustering with Flexible Dimension Partitioning
Traditional similarity or distance measurements usually become meaningless when the dimensions of the datasets increase, which has detrimental effects on clustering performance. I...
Guimei Liu, Jinyan Li, Kelvin Sim, Limsoon Wong
ICCV
2011
IEEE
12 years 5 months ago
Exemplar Extraction using Spatio-Temporal Hierarchical Agglomerative Clustering for Face Recognition in Video
Many recent works have attempted to improve object recognition by exploiting temporal dynamics, an intrinsic property of video sequences. In this paper, a new spatiotemporal hiera...
John See, Chikkannan Eswaran
DIAL
2006
IEEE
146views Image Analysis» more  DIAL 2006»
13 years 7 months ago
Distance Measures for Layout-Based Document Image Retrieval
Most methods for document image retrieval rely solely on text information to find similar documents. This paper describes a way to use layout information for document image retrie...
Joost van Beusekom, Daniel Keysers, Faisal Shafait...