[Obi-devel] New transformation terms from MO

[Tina Hernandez-B. <bou...@st...>]

Hi Ryan and Philippe,

Here are some additional data transformation terms from MO.  I think  
that these terms should not go under data transformation, but would  
be better placed under mathematical terms, as they do not transform  
the data.

Can you please let me know if you are in agreement so that I can get  
the final list of data transformation term out before Monday.

Thanks,

Tina


NAME:cosine_distance	DEF:The cosine distance of two vectors is the  
cosine of the angle between them. This measures the difference in  
direction between two vectors, irrespective of their lengths.	MO
NAME:Euclidean_distance	DEF:The straight line distance between two  
points. In n dimensions, the Euclidean distance between two points p  
and q is square root of (sum (pi-qi)2) where pi (or qi) is the i-th  
coordinate of p (or q).	MO
NAME:manhattan_distance	DEF:The "Manhattan distance" is the shortest  
path between two points in a block format, e.g. the length of the  
path along Manthattan city streets.	MO
NAME:pearson_correlation_coefficient	DEF:The Pearson's correlation  
coefficient between two variables. Its values can range between -1.00  
to +1.00. The closer the absolute value of the Pearson correlation  
coefficient is to 0, the smaller the linear relationship between the  
two variables. A Pearson correlation  coefficient with absolute value  
1 indicates perfect linear relationship.	MO
NAME:Spearmans_rank_correlation	DEF:Computed as the ordinary Pearson  
correlation coefficient between two groups of rankings.	MO
NAME:tau_rank_correlation	DEF:a nonparametric measure of the  
agreement between two rankings	MO
NAME:french_railway_distance	DEF:The "French railway distance" is  
based on the fact that (at least in the past) most of the railways in  
France headed straight to Paris. Thus, the French railway distance  
between two points is the usual distance if the straight line through  
them passes to a designated ?Paris? point, or is the sum of their  
distances to the ?Paris? point otherwise.	MO
NAME:jackknife_Pearson_correlation	DEF:The jackknife Pearson  
correlation is the lowest Pearson correlation between two data series  
where one pair of values in the data series are omitted.	MO
NAME:uncentered_Pearson_correlation	DEF:The uncentered Pearson  
correlation is defined as the Pearson correlation for two data series  
where the mean of each data series is assumed to be zero.	MO
NAME:Pearson_correlation	DEF:The Pearson correlation is defined as  
the covariance of two data series divided by the product of their  
standard deviations.	MO



Cheers,

Tina B