0.1

README.md

@@ -114,7 +114,7 @@ hierarchical tree       data.nwk
 minimum spanning tree   data.graphml
 ```
 Of note, using option `-e 0.05` causes the removal of the fifth profile (8.19% missing entries).
-The pairwise distance matrix is written into _data.d_ (available in _src/_), and options `-m` and `-h` yield the creation of the files _data.graphml_ and _data.nwk_.
+The pairwise distance matrix is written into _data.d_ (available in _example/_), and options `-m` and `-h` yield the creation of the files _data.graphml_ and _data.nwk_.
 
 **MST-based clustering from distance data**
 
@@ -187,7 +187,7 @@ This will output:
 n   c           k  silhouette  noise silhouette [low avg up]  noise aWallace1 [low avg up]  noise aWallace2 [low avg up]  nAUC silhouette [low avg up]  nAUC aWallace1 [low avg up]  nAUC aWallace2 [low avg up]
 413 0.016691213 3  0.829778    0.763112 0.838848 0.918818     0.444911 0.977796 1.000000    0.998107 0.999338 1.000000    0.825384 0.899548 0.938995    1.000000 1.000000 1.000000   0.828055 0.978866 1.000000
 ```
-Details of the corresponding clustering (3 classes) is written into file _clust.txt_ (available in _src/_).
+Details of the corresponding clustering (3 classes) is written into file _clust.txt_ (available in _example/_).
 A silhouette plot can be easily drawn using the output of the following command line on _clust.txt_:
 ```bash
 grep -F " s=" clust.txt | sed 's/ s=//' | sed 1d