HS_FkNN (homepage)

HS_FkNN: Hybrid Spill Tree Fuzzy k Nearest Neighbors.

@JMailloH / (1)

This is an open-source Spark package about two Fuzzy k Nearest Neighbors classifier based on Apache Spark. We take advantage of its in-memory operations to simultaneously classify big amounts of unseen cases against a big training dataset. It consists of two stages: class membership degree and classification. The class membership degree stage changes the class label to class membership degree vector. Two approaches are proposed to address this stage: Local Hybrid Spill Tree FkNN (LHS_FkNN) and Global Approximate Hybrid Spill Tree FkNN (GAHS-FkNN). LHS_FkNN follows a local approach, which calculates membership independently on each partition. GAHS-FkNN has a global approach based on Hybrid Spill Tree, considering all data from the training set. The classification stage is common to both models and is based on Hybrid Spill Tree.
homepage


Tags

  • 1|ml
  • 1|machine learning
  • 1|mllib
  • 1|classification
  • 1|kNN
  • 1|Fuzzy kNN

How to

Include this package in your Spark Applications using:

spark-shell, pyspark, or spark-submit

> $SPARK_HOME/bin/spark-shell --packages JMailloH:HS_FkNN:1.0

sbt

If you use the sbt-spark-package plugin, in your sbt build file, add:

spDependencies += "JMailloH/HS_FkNN:1.0"

Otherwise,

resolvers += "Spark Packages Repo" at "http://dl.bintray.com/spark-packages/maven"

libraryDependencies += "JMailloH" % "HS_FkNN" % "1.0"

Maven

In your pom.xml, add:
<dependencies>
  <!-- list of dependencies -->
  <dependency>
    <groupId>JMailloH</groupId>
    <artifactId>HS_FkNN</artifactId>
    <version>1.0</version>
  </dependency>
</dependencies>
<repositories>
  <!-- list of other repositories -->
  <repository>
    <id>SparkPackagesRepo</id>
    <url>http://dl.bintray.com/spark-packages/maven</url>
  </repository>
</repositories>

Releases

Version: 1.0 ( 5621ac | zip | jar ) / Date: 2018-12-30 / License: Apache-2.0 / Scala version: 2.11