diff --git a/README.md b/README.md
index 0897ae1..1c34c33 100644
--- a/README.md
+++ b/README.md
@@ -4,7 +4,7 @@ T-SNE-Java
 ==========
 
 NEWS 2016-11-02!
-================
+----------------
 *T-SNE-Java now have support for __Barnes Hut__ which makes it possible to run the amazing t-SNE on much larger data sets (or much faster on small data sets:) )!*
 
 The Barnes Hut version can also be run in parallel! We have seen from 40 % performance improvements on moderate datasets (ca 10 000 samples) to 400 % improvements on larger datasets (MNIST 60000 samples) compared to standard Barnes Hut.
@@ -20,7 +20,6 @@ Pure Java implementation of Van Der Maaten and Hinton's t-SNE clustering algorit
 
 This project is divided into two separate Maven projects, one for the core t-SNE and one for the demos (stand-alone executables that can be run from command line).
 
-With Barnes Hut, T-SNE-Java is now in version v2.2.0, both core and demos.
 
 Basic command line usage
 ------------------------
@@ -37,15 +36,15 @@ Examples:
 
 Run TSne on file without headers and no labels.
 ```shell
-java -jar target/tsne-demos-2.2.0.jar -nohdr -nolbls src/main/resources/datasets/iris_X.txt 
+java -jar target/tsne-demos-2.3.0.jar -nohdr -nolbls src/main/resources/datasets/iris_X.txt 
 ```
 Run TSne on CSV file with headers and label column nr. 5.
 ```shell
-java -jar target/tsne-demos-2.2.0.jar --lblcolno 5 src/main/resources/datasets/iris.csv
+java -jar target/tsne-demos-2.3.0.jar --lblcolno 5 src/main/resources/datasets/iris.csv
 ```
 Run TSne on file without headers and no labels but supply a separate label file (with the same ordering as the data file).
 ```shell
-java -jar target/tsne-demos-2.2.0.jar --nohdr --nolbls --label_file=src/main/resources/datasets/iris_X_labels.txt src/main/resources/datasets/iris_X.txt
+java -jar target/tsne-demos-2.3.0.jar --nohdr --nolbls --label_file=src/main/resources/datasets/iris_X_labels.txt src/main/resources/datasets/iris_X.txt
 ```
 
 Same as above but using parallelization.
@@ -118,7 +117,7 @@ public class TSneTest {
 
 Version
 -------
-Demo: 2.2.0
+Demo: 2.3.0
 
 Core: 2.2.0