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Re: [Obi-devel] New transformation terms from MO
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From: Philippe <ro...@eb...> - 2007-01-26 22:00:08
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Thanks for the additioanl terms, I'll collate those and also include all terms collected from MSI (as they were not included in the comb terms posted). I will post those tomorrow. Cheers Philippe Ryan Brinkman wrote: >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 >> >>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 >> >> >> >> >> > > > |
