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ALT
2008
Springer
15 years 9 months 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
86
Voted
ICPR
2008
IEEE
15 years 6 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
106
Voted
ANTSW
2008
Springer
15 years 1 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
PVLDB
2010
151views more  PVLDB 2010»
14 years 10 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
88
Voted
ESANN
2008
15 years 1 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