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» Finding Groups in Data: Cluster Analysis with Ants
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ADBIS
2007
Springer
132views Database» more  ADBIS 2007»
15 years 6 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
IDEAL
2007
Springer
15 years 6 months ago
Partitioning-Clustering Techniques Applied to the Electricity Price Time Series
Clustering is used to generate groupings of data from a large dataset, with the intention of representing the behavior of a system as accurately as possible. In this sense, cluster...
Francisco Martínez-Álvarez, Alicia T...
BMCBI
2008
134views more  BMCBI 2008»
14 years 12 months ago
Clustering cancer gene expression data: a comparative study
Background The use of clustering methods for the discovery of cancer subtypes has drawn a great deal of attention in the scientific community. While bioinformaticians have propose...
Marcílio Carlos Pereira de Souto, Ivan G. C...
IEEECIT
2010
IEEE
14 years 9 months ago
The Research on Teaching Method of Basics Course of Computer based on Cluster Analysis
Due to the difference between rural and urban and regional disparity of computer basic education produced at their middle school period, computer application level of the freshmen ...
ZhiXin Tie, Rong Jin, Hong Zhuang, Zhaoqing Wang
ECCV
2010
Springer
15 years 2 months ago
Object Segmentation by Long Term Analysis of Point Trajectories
Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...