We then use the program Snob ( Wallace and Boulton 1968 ; Wallace 2005 ) to cluster these experiences .
statistical and inductive inference by minimum message length
C S Wallace
We train the system by clustering the `` experiences '' of the response-generation methods in addressing requests , where each experience is characterized by the value of the confidence measure employed by a method and its subsequent performance , reflected by precision and recall ( Equations ( 7 ) and ( 8 ) , respectively ) . We then use the program Snob ( Wallace and Boulton 1968 ; Wallace 2005 ) to cluster these experiences . Figure 8 ( a ) is a projection of the centroids of the clusters produced by Snob into the three most significant dimensions discovered by Principal Component Analysis ( PCA ) -- these dimensions account for 95 % of the variation in the data .
We then use the program Snob ( Wallace and Boulton 1968 ; @@CITATION ) to cluster these experiences .