A Fast Clustering Algorithm for Data with a Few Labeled Instances

Algorithm 2

The NNC clustering algorithm for semisupervised learning.

Algorithm: NNC

Input: The input data , the number of clusters, and the

labeled subsets of .

Output: The partition of .

for each unlabelled instance , compute

for ;

Let for ;

for each unlabelled instance

 ;

 ;

end for

return   ;