Description Usage Arguments Details Value Author(s) References See Also Examples
A function to calculate the longest common subsequence ratio using two trajectories. This function does not calculate translations and only uses the given trajectories and optional translation.
1 2 | LCSSRatioCalc(traj1, traj2, pointSpacing=-1, pointDistance=20,
trans=rep(0.0, (dim(traj1)[2])))
|
traj1 |
An m x n matrix containing trajectory1. Here m is the number of points and n is the dimension of the points. |
traj2 |
A k x n matrix containing trajectory2. Here k is the number of points and n is the dimension of the points. The two trajectories are not required to have the same number of points. |
pointSpacing |
An integer value of the maximum index difference between trajectory1 and trajectory2 allowed in the calculation. A negative value sets the point spacing to unlimited. |
pointDistance |
A floating point number representing the maximum distance in each dimension allowed for points to be considered equivalent. |
trans |
A vector containing translations in each dimension to be applied to trajectory2 in this calculation. |
The LCSS algorithm calculates the largest number of equivalent points between the two trajectories when traversed in a monotone way. The ratio of this value to the smallest number of points out of the two trajectories is then calculated. If a translation is given then this is applied before the calculation is done. Please see the references for more information.
A floating point value is returned. This represents the maximum LCSS ratio obtained using the variables provided. If a problem occurs, then a string containing information about the problem is returned.
Kevin Toohey
Vlachos, M., Kollios, G. and Gunopulos, D. (2002) Discovering similar multidimensional trajectories. Paper presented at the Data Engineering, 2002. Proceedings. 18th International Conference on.
LCSS
, LCSSRatio
, LCSSCalc
, LCSSTranslation
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