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ACL
2006
15 years 2 months ago
Unsupervised Part-of-Speech Tagging Employing Efficient Graph Clustering
An unsupervised part-of-speech (POS) tagging system that relies on graph clustering methods is described. Unlike in current state-of-the-art approaches, the kind and number of dif...
Chris Biemann
102
Voted
ICPR
2006
IEEE
16 years 1 months ago
A General Framework for Agglomerative Hierarchical Clustering Algorithms
This paper presents a general framework for agglomerative hierarchical clustering based on graphs. Specifying an inter-cluster similarity measure, a subgraph of the similarity gra...
Reynaldo Gil-García, José Manuel Bad...
102
Voted
ICML
2009
IEEE
15 years 7 months ago
Fast evolutionary maximum margin clustering
The maximum margin clustering approach is a recently proposed extension of the concept of support vector machines to the clustering problem. Briefly stated, it aims at finding a...
Fabian Gieseke, Tapio Pahikkala, Oliver Kramer
74
Voted
ICDM
2006
IEEE
86views Data Mining» more  ICDM 2006»
15 years 6 months ago
Turning Clusters into Patterns: Rectangle-Based Discriminative Data Description
The ultimate goal of data mining is to extract knowledge from massive data. Knowledge is ideally represented as human-comprehensible patterns from which end-users can gain intuiti...
Byron J. Gao, Martin Ester
97
Voted
ICCSA
2004
Springer
15 years 6 months ago
A Cluster Based Hierarchical Routing Protocol for Mobile Networks
We propose a hierarchical, cluster based semi-distributed routing protocol for a mobile ad hoc network. The network graph is partitioned into clusters using heuristics and the shor...
Kayhan Erciyes, Geoffrey Marshall