Hello, Lutz.

For the manual of Maintenance Release.

line 6548

<td>calculate distances to cluster centroids or other data points</td>

↓

<td>calculates distances to cluster centroids or other data points</td>

line 6553

<td>partion a data set into clusters</td>

↓

<td>partitions a data set into clusters</td>

And

crit-t calculates the Student's t statistic for a given probability

kmeans-query calculate distances to cluster centroids or other data points

kmeans-train partion a data set into clusters

crit-z calculates the normal distributed Z for a given probability

is

crit-t calculates the Student's t statistic for a given probability

crit-z calculates the normal distributed Z for a given probability

kmeans-query calculate distances to cluster centroids or other data points

kmeans-train partion a data set into clusters

maybe.

line 16387

syntax: (kmeans-query <em>list-data</em> <em>matix-data</em></h4>

↓

syntax: (kmeans-query <em>list-data</em> <em>matix-data</em>)</h4>

I think that "Eucledian distance" equals "Euclidean distance".

Both seem to be used in the web, and in Wikipadia

http://en.wikipedia.org/wiki/Euclidean_distanceI don't know which common.