k

k3nn

Implementation of 3NN K-Nearest Neighbor clustering as described in [1], to identify salient information as the 2-degenerate cores from a clustering graph containing information nodes that are linked to their 3-nearest neighbors, and qualifying sentences that outrank previously selected sentences using a relevance model of salient information seen over a recent time interval. [1] JBP Vuurens, AP de Vries, R Blanco, P Mika, "Online News Tracking for Ad-Hoc Information Needs", in ICTIR 2015.
https://k3nn.github.io
The Apache Software License, Version 2.0
Jeroen Vuurens
using model vries interval outrank qualifying sentences neighbor from recent cores mika online time over selected graph vuurens degenerate relevance linked clustering information news identify needs 2015 ictir seen nearest blanco that neighbors tracking nodes implementation salient containing previously their described
Files download
File Operation
k3nn-0.01.jar download
k3nn-0.01.pom download
k3nn-0.01-sources.jar download
Apache Maven 
<dependency>
  <groupId>io.github.k3nn</groupId>
  <artifactId>k3nn</artifactId>
  <version>0.01</version>
</dependency>
Gradle Groovy 
implementation 'io.github.k3nn:k3nn:0.01'
Gradle Kotlin 
implementation("io.github.k3nn:k3nn:0.01")
Scala SBT 
libraryDependencies += "io.github.k3nn" % "k3nn" % "0.01"
Groovy Grape 
@Grapes(
  @Grab(group='io.github.k3nn', module='k3nn', version='0.01')
)
Apache Ivy 
<dependency org="io.github.k3nn" name="k3nn" rev="0.01" />
Leiningen 
[io.github.k3nn/k3nn "0.01"]
Apache Buildr 
'io.github.k3nn:k3nn:jar:0.01'
Dependencies

compile

|-- io.github.htools:htools:0.26