Question regarding Canopy Clustering (sequential)

[Stefan Kreuzer]

If I understand correctly, CosineDistanceMeasure has a range of [0,1].  
So shouldn't Canopy Clustering return only one single cluster if 1 is 
used for T1 and T2 as in the example below? All points are within range 
1  from the random starting point and should therefore be removed from 
the list of possible canopy centroids.
Yet it returns multiple clusters. Are my assumptions wrong, can someone 
help me understand this behavior?

CanopyDriver.run(new Path("tfidf-vectors"), new 
Path("canopy_centroids"),		
      new CosineDistanceMeasure(), 1, 1, 0.0, true);