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ICDE
1999
IEEE
183views Database» more  ICDE 1999»
14 years 9 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
WABI
2001
Springer
138views Bioinformatics» more  WABI 2001»
14 years 4 days ago
Algorithms for Finding Gene Clusters
Abstract. Comparing gene orders in completely sequenced genomes is a standard approach to locate clusters of functionally associated genes. Often, gene orders are modeled as permut...
Steffen Heber, Jens Stoye
DMIN
2006
146views Data Mining» more  DMIN 2006»
13 years 9 months ago
A Comparison of Two Document Clustering Approaches for Clustering Medical Documents
Medical data is often presented as free text in the form of medical reports. Such documents contain important information about patients, disease progression and management, but ar...
Fathi H. Saad, Beatriz de la Iglesia, Duncan G. Be...
JCP
2008
103views more  JCP 2008»
13 years 7 months ago
Weighted Clustering and Evolutionary Analysis of Hybrid Attributes Data Streams
It presents some definitions of projected cluster and projected cluster group on hybrid attributes after having given some definitions on ordered attributes and sorted attributes t...
Xinquan Chen
IWANN
2009
Springer
14 years 2 months ago
Self Organized Dynamic Tree Neural Network
Cluster analysis is a technique used in a variety of fields. There are currently various algorithms used for grouping elements that are based on different methods including partiti...
Juan Francisco de Paz, Sara Rodríguez, Javi...