Clustering algorithm
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Publications (69)

1Clustering Concept Hierarchies from Textbottomup clustering algorithm as well as against BiSectionKmeans as an instance of a topdown clustering algorithm. 1. I...

2An Automatic Method for Constructing DomainSpecific Ontology Resourcesdissimilarity matrix D. We apply the completelink clustering algorithm (Frakes and BaezaYates, 1992) to this matrix to ...

3Finding Representative Sets of Dialect Words for Geographical Regions2006  M Salmenkivimunicipalities. Then we applied the following twophase clustering algorithm. In the first phase, we clustered the occurrences...

4Utilizing the OneSensePerDiscourse Constraint for Fully UNsupervised Word Sense Induction and Disambiguation2004  Reinhard Rapprelated words. In this paper, instead of using a clustering algorithm, we suggest to perform a Singular Value Decomposition...

5A Language Approach to Modeling Human Behaviorsreading into V groups using KMeans clustering algorithm. Once the Kmeans clustering algorithm converges, it results in V cluster...

6Evaluation of UNsupervised Information ExtractionThis step relies on both a similarity measure and a clustering algorithm. For the former, we chose the cosine measure, applied...

7Word Sense Disambiguation as a WordNets Validation Method in BalkanetWordnet 2.0 sense inventory and relies on the previous clustering algorithm as a backoff mechanism. The underlying hypothesis...

8The COST278 PanEuropean Broadcast News Database2004  An Vandecatseye,Anton Cizmar,Carmen GarciaMateo,Christina Alexandris,Mihelic France,Papageorgiou Harris,Hugo Meinedo,Jan Nouza,Janez Zibert,Javier DieguezTirado,JeanPierre Martens,Joao Neto,Matus Pleva,Petr Davidare linked to a reference CP). 4.3. Clustering A clustering algorithm is presumed to assign a cluster number to each computed...

9Authorship Identification of Romanian Texts with Controversial Paternitystylistic studies. An agglomerative hierarchical clustering algorithm (Duda et al., 2001) arranges a set of objects in a...

10Determining Reliability of Subjective and MultiLabel Emotion Annotation through Novel Fuzzy Agreement Measureare partitioned into several clusters using kmeans clustering algorithm such that each partition contains disagreement values...