7.00.02 - Output - Aster Analytics

Teradata Aster® Analytics Foundation User GuideUpdate 2

Product
Aster Analytics
Release Number
7.00.02
Published
September 2017
Language
English (United States)
Last Update
2018-04-17
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VectorDistance Example 1 Output Table
target_userid ref_userid type distance
1 5 cosine 0.454865178527558
1 5 euclidean 1.12465019517762
1 5 manhattan 1.72996669672284
2 5 cosine 0.0260892301077248
2 5 euclidean 0.524309064791334
2 5 manhattan 0.729999989271164
3 5 cosine 0.0241505454220814
3 5 euclidean 0.452658810804166
3 5 manhattan 0.669999986886978
4 5 cosine 0.438222433743287
4 5 euclidean 1.04709120838197
4 5 manhattan 1.41999999247491

The following table (which is not output by the VectorDistance function) shows the distances of the target vectors from the reference vector (UserID 5) and their similarity ranks. The shorter the distance, the higher the similarity rank. Similarity rank is independent of measure—if relative distances are shorter in one measure, they are shorter in all measures. UserID 3 is most similar to UserID 5.

VectorDistance Example 1 Target Distances from Reference and Similarity Ranks
target_userid Cosine Distance Euclidean Distance Manhattan Distance Similarity Rank
1 0.454865179 1.124650195 1.7299667 4
2 0.02608923 0.524309065 0.72999999 2
3 0.024150545 0.452658811 0.66999999 1
4 0.438222434 1.047091208 1.41999999 3