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» Landscape of Clustering Algorithms
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WEBI
2005
Springer
16 years 4 days ago
A Semi-Supervised Document Clustering Algorithm Based on EM
Document clustering is a very hard task in Automatic Text Processing since it requires to extract regular patterns from a document collection without a priori knowledge on the cat...
Leonardo Rigutini, Marco Maggini
ALGORITHMICA
2006
132views more  ALGORITHMICA 2006»
15 years 6 months ago
Straight-Line Drawing Algorithms for Hierarchical Graphs and Clustered Graphs
Hierarchical graphs and clustered graphs are useful non-classical graph models for structured relational information. Hierarchical graphs are graphs with layering structures; clus...
Peter Eades, Qing-Wen Feng, Xuemin Lin, Hiroshi Na...
191
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ICML
2000
IEEE
16 years 7 months ago
Clustering with Instance-level Constraints
Clustering algorithms conduct a search through the space of possible organizations of a data set. In this paper, we propose two types of instance-level clustering constraints ? mu...
Kiri Wagstaff, Claire Cardie
ATAL
2003
Springer
15 years 12 months ago
Strategies for the Increased Robustness of Ant-Based Clustering
This paper introduces a set of algorithmic modifications that improve the partitioning results obtained with ant-based clustering. Moreover, general parameter settings and a self-...
Julia Handl, Joshua D. Knowles, Marco Dorigo
PAKDD
2000
ACM
124views Data Mining» more  PAKDD 2000»
15 years 10 months ago
Feature Selection for Clustering
In clustering, global feature selection algorithms attempt to select a common feature subset that is relevant to all clusters. Consequently, they are not able to identify individu...
Manoranjan Dash, Huan Liu