FARM Algorithm Evaluation
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Documentation for package ‘FARM.eval’ version 1.0.0
Help Pages
| : FARM.eval.R | Functions for Evaluating the FARM Algorithm |
| : utilies.R | ###################### |
| align.eval.dewarp.bench | dewarp work bench for alignment evaluation |
| align.eval.error.stat | extract error statistics of alignment evaluation |
| alot | alot dynamic distance |
| amss | amss dynamic distance |
| amss.wpath | amss warping path |
| calc.global.rel.meas | get.global.rel.meas handler |
| dewarp.approaches | apply de-warping with selected dynamic methods |
| dewarp.idx.univar | de-warping univariate series |
| dist.h | alot texture distance |
| dist.matrix.wpath | warping path extraction |
| edr | edr dynamic distance |
| edr.dist | ###################### |
| feat.ext | ###################### |
| ffalign.exp | ffalign experiment function |
| ffalign.exp.calc | ffalign.exp.calc |
| fit.list.lengths | fit list size |
| get.global.rel.meas | calculate global relevance measure |
| harm.res | harmonising results in dewarp.approaches |
| load.apply.save | ###################### |
| load.data | Functions for Evaluating the FARM Algorithm |
| match.slice.df | data.frame match-slicing |
| msm | msm dynamic distance |
| msm.cost | ###################### |
| msm.dist | msm feature distance |
| multi.warp.series | time-warp multiple series |
| n.vect.phi | n-dim vector angle |
| rm.min | remove minimum values |
| robust.minmax | min-max normalisation |
| scale_quant_range | scale by quantiles |
| test.dewarp.idx | test de-warping function |
| text_extr | ################ |
| vect.phi | vector angle |
| vectors.draw | vector drawing |
| warp.idx | time-warp series |