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103
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ALT
2008
Springer
16 years 18 days ago
Clustering with Interactive Feedback
In this paper, we initiate a theoretical study of the problem of clustering data under interactive feedback. We introduce a query-based model in which users can provide feedback to...
Maria-Florina Balcan, Avrim Blum
114
Voted
ICPR
2008
IEEE
15 years 10 months ago
Feature selection for clustering with constraints using Jensen-Shannon divergence
In semi-supervised clustering, domain knowledge can be converted to constraints and used to guide the clustering. In this paper we propose a feature selection algorithm for semi-s...
Yuanhong Li, Ming Dong, Yunqian Ma
132
Voted
ANTSW
2008
Springer
15 years 4 months ago
The Architecture of Ant-Based Clustering to Improve Topographic Mapping
Abstract. This paper analyzes the popular ant-based clustering approach of Lumer/Faieta. Analysis of formulae unveils that ant-based clustering is strongly related to Kohonen’s S...
Lutz Herrmann, Alfred Ultsch
125
Voted
PVLDB
2010
151views more  PVLDB 2010»
15 years 2 months ago
Scalable Discovery of Best Clusters on Large Graphs
The identification of clusters, well-connected components in a graph, is useful in many applications from biological function prediction to social community detection. However, ...
Kathy Macropol, Ambuj K. Singh
121
Voted
ESANN
2008
15 years 5 months ago
Explaining Ant-Based Clustering on the basis of Self-Organizing Maps
Ant-based clustering is a nature-inspired technique whereas stochastic agents perform the task of clustering high-dimensional data. This paper analyzes the popular technique of Lum...
Lutz Herrmann, Alfred Ultsch