Something similar to k-means can be archieved with Statistics::Descriptive and its frequency_distribution. 
use Statistics::Descriptive;
$stat = Statistics::Descriptive::Full->new();
$stat->add_data( split /,/, <DATA> );
%f   = $stat->frequency_distribution(4);

$min = 0;
for ( sort { $a <=> $b } keys %f ) {
    printf "[%d\t-%d\t] %d\n", $min, $_, $f{$_};
    $min = $_ + 1;
}
__DATA__
0, 12, 25, 38, 50, 62, 75, 88, 100
__END__
# prints 
[0      -25     ] 3
[26     -50     ] 2
[51     -75     ] 2
[76     -100    ] 2

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In reply to Re: Making sense of data: Clustering OR A coding challenge by codeacrobat
in thread Making sense of data: Clustering OR A coding challenge by belg4mit

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