added a Maven badge

README.md

@@ -4,6 +4,7 @@ Stochastic Outlier Selection on Apache Spark
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 [![Build Status](https://travis-ci.org/Fokko/spark-stochastic-outlier-selection.svg?branch=master)](https://travis-ci.org/Fokko/spark-stochastic-outlier-selection)
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+[![Maven Central](https://maven-badges.herokuapp.com/maven-central/frl.driesprong/spark-stochastic-outlier-selection_2.11/badge.svg)](https://maven-badges.herokuapp.com/maven-central/frl.driesprong/spark-stochastic-outlier-selection_2.11)
 
 Stochastic Outlier Selection (SOS) is an unsupervised outlier selection algorithm. It uses the concept of affinity to compute an outlier probability for each data point.
 
@@ -14,4 +15,4 @@ Selecting outliers from data
 
 The current implementation accepts RDD's of the type `Array[Double]` and returns the indexes of the vector with it's degree of outlierness.
 
-Current implementation only works with Euclidean distance, but this will be extended in the foreseeable future.
+Current implementation only works with Euclidean distance, but this will be extended in the foreseeable future.

build.sbt

@@ -3,7 +3,6 @@ name := "Spark Stochastic Outlier Selection"
 
 version := "0.1.0"
 
-
 publishTo := {
   val nexus = "https://oss.sonatype.org/"
   if (isSnapshot.value)
@@ -12,6 +11,11 @@ publishTo := {
     Some("releases"  at nexus + "service/local/staging/deploy/maven2")
 }
 
+lazy val core = (project in file(".")).settings(
+  organization := "frl.driesprong"
+  //other properties here
+)
+
 publishMavenStyle := true
 
 publishArtifact in Test := false