Kmeans algorithm
Related Topics
Experts

1

2

3

4

5

6

7

8

9

10
Publications (13)

1Concept Discovery from Text2002  Dekang Lin,Patrick PantelSplitting a cluster consists of applying the basic Kmeans algorithm α times with K=2 and keeping the split that has the...

2Latent Community Discovery with Network Regularization for Core Actors Clusteringedges in the network to form communities, such as the kmeans algorithm (Hartigan and Wong, 1979) and the 1352 GirvanNewman...

3Datadriven Classification of Linguistic Styles in Spoken Dialogues2002  Thomas Porteleassigned the correct group. To establish classes the k–means algorithm was employed. This algorithm works by repeatedly moving...

4Using Three Way Data for Word Sense Discrimination2008  Tim van de Cruysinitial centroids. The first algorithm is a standard Kmeans algorithm. The second one is the CBC algorithm by Pantel and Lin...

5Bridging Topic Modeling and Personalized SearchWe compare our method (denoted as PLSI) against the kmeans algorithm(denoted as KMeans) on the preference collection. Figure...

6Unsupervised Discovery of Relations and Discriminative Extraction Patternspairs. We cluster this vector space model using the kmeans algorithm which partitions entity pairs into k clusters of similar...

7Filtering SpeakerSpecific Words from Electronic Discussions2004  Ingrid Zukerman,Yuval MaromProcedure The clustering algorithm we have chosen is the KMeans algorithm, because it is one of the simplest, fastest, and most...

8Acquisition of Semantic Classes for Adjectives from Distributional Evidenceeach parameter. The best result was obtained with the kmeans algorithm and the parameters listed in Table 4. However, the results...

9A Hybrid Generative/Discriminative Framework to Train a Semantic Parser from an Unannotated Corpusthe clustering results generated from the modified Kmeans algorithm, we found that some of the clusters formed actually...

10Adaptive Development Data Selection for Loglinear Model in Statistical Machine Translationcandidate set DF as development set.2 We adopted the kmeans algorithm for data clustering with the number of clusters iterating...