Re: [Obi-devel] New transformation terms from MO

[Ryan B. <rbr...@bc...>]

I absolutely agree.

--Ryan


> -----Original Message-----
> From: Tina Hernandez-Boussard [mailto:bou...@st...]
> Sent: January 26, 2007 12:23 PM
> To: Ryan Brinkman; Philippe Rocca-Serra
> Cc: obi...@li...
> Subject: New transformation terms from MO
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> Hi Ryan and Philippe,
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> 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.
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> 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.
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> Thanks,
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> Tina
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> 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
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> 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
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> 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
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> 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
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> NAME:Spearmans_rank_correlation	DEF:Computed as the ordinary
Pearson
> correlation coefficient between two groups of rankings.	MO
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> NAME:tau_rank_correlation	DEF:a nonparametric measure of the
agreement
> between two rankings	MO
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> 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
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> 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
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> 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
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> 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
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> Cheers,
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> Tina B
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