search_geodesic {tourr} | R Documentation |
A pseudo-derivative, line search algorithm.
Description
This is a novel method for finding more interesting projections for the
guided tour. It works by first taking a small step in n
random
directions, and then picking the direction that looks most promising
(based on the height of the index function), which is effectively a gradient search.
Then it performs a linear search along the geodesic in that direction,
traveling up to half way around the sphere.
Usage
search_geodesic(
current,
alpha = 1,
index,
tries,
max.tries = 5,
...,
n = 5,
delta = 0.01,
cur_index = NA
)
Arguments
current |
starting projection |
alpha |
maximum distance to travel (currently ignored) |
index |
interestingness index function |
tries |
the counter of the outer loop of the opotimiser |
max.tries |
maximum number of failed attempts before giving up |
... |
other arguments being passed into the |
n |
number of random steps to take to find best direction |
delta |
step size for evaluation of best direction |
cur_index |
index value for starting projection, set NA if it needs to be calculated |
Details
You should not to have call this function directly, but should supply it
to the guided_tour
as a search strategy.
Examples
animate_xy(flea[, 1:6], guided_tour(holes(), search_f = search_geodesic))