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ADBIS
2007
Springer
143views Database» more  ADBIS 2007»
14 years 4 months ago
Aggregating Multiple Instances in Relational Database Using Semi-Supervised Genetic Algorithm-based Clustering Technique
In solving the classification problem in relational data mining, traditional methods, for example, the C4.5 and its variants, usually require data transformations from datasets sto...
Rayner Alfred, Dimitar Kazakov
AUSAI
2006
Springer
14 years 1 months ago
Clustering Similarity Comparison Using Density Profiles
The unsupervised nature of cluster analysis means that objects can be clustered in many different ways. This means that different clustering algorithms can lead to vastly different...
Eric Bae, James Bailey, Guozhu Dong
ICPR
2008
IEEE
14 years 11 months ago
K-means clustering of proportional data using L1 distance
We present a new L1-distance-based k-means clustering algorithm to address the challenge of clustering high-dimensional proportional vectors. The new algorithm explicitly incorpor...
Bonnie K. Ray, Hisashi Kashima, Jianying Hu, Monin...
EVOW
2009
Springer
14 years 4 months ago
Clustering Metagenome Short Reads Using Weighted Proteins
Abstract. This paper proposes a new knowledge-based method for clustering metagenome short reads. The method incorporates biological knowledge in the clustering process, by means o...
Gianluigi Folino, Fabio Gori, Mike S. M. Jetten, E...
CLUSTER
2004
IEEE
14 years 1 months ago
Component-based cluster systems software architecture a case study
We describe the use of component architecture in an area to which this approach has not been classically applied, the area of cluster system software. By "cluster system soft...
Narayan Desai, Rick Bradshaw, Ewing L. Lusk, Ralf ...