Topic: Cluster analysis
All kind day. Probably not absolutely correctly selected section, but the given task I implement Oracle means. And so it is had the normalized fact table, on its basis splitting into clusters into the base k-means algorithm is led. It is necessary to implement sampling of the closest facts in a cluster at appearance of new record. I.e. having the new fact (or the hypothesis) to define gets to what cluster record and to what the close in a cluster to records can correlate. In advance thanks.