Description Usage Arguments Details Author(s) References Examples
View source: R/landmarks-maxmin.r
Compute landmark sets based on fixed-radius balls.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | minmax(x, y = NULL, dist_method = "euclidean")
maxmin(x, y = NULL, dist_method = "euclidean")
landmarks_maxmin(
x,
dist_method = "euclidean",
pick_method = "first",
num = NULL,
radius = NULL,
frac = FALSE,
seed_index = 1L,
engine = NULL,
cover = FALSE,
extend_num = extension(mult = 0, add = 0),
extend_radius = extension(mult = 0, add = 0)
)
|
x |
a data matrix. |
y |
a data matrix of the same dimension as |
dist_method |
a character string specifying the distance metric to use;
passed to |
pick_method |
a character string specifying the method for selecting one
among indistinguishable points, either |
num |
a positive integer; the desired number of landmark points, or of sets in a ball cover. |
radius |
a positive number; the desired radius of each landmark ball, or of each set in a ball cover. |
frac |
logical; whether to treat |
seed_index |
an integer (the first landmark to seed the algorithm) or
one of the character strings |
engine |
character string specifying the implementation to use; one of
|
cover |
logical; whether to return a data frame of landmark indices and cover sets (by member index) rather than only a vector of landmark indices. |
extend_num, extend_radius |
length-two numeric vectors used to extend
landmark parameters for cover set construction. See |
This function uses the maxmin procedure to produce a set of evenly spaced landmark points from a data set. Maxmin is a simple greedy algorithm that is relatively efficient, but it has a tendency to pick out extremal points.
One, both, or neither of num and radius may be passed values. If
neither is specified, then num is defaulted to 24L. If the values yield
balls that do not cover x, then their number is increased until the
radius necessary to cover x is at most radius. To generte a complete
landmark set, use radius = 0L.
Matt Piekenbrock
Jason Cory Brunson
Yara Skaf
De Silva, Vin, and Gunnar E. Carlsson. "Topological estimation using witness complexes." SPBG 4 (2004): 157-166.
Dłotko, Paweł. "Ball Mapper: A Shape Summary for Topological Data Analysis." (2019). Web.
1 2 3 4 5 6 7 8 9 10 11 12 13 | set.seed(3)
# small circle sample
X <- tdaunif::sample_circle(n = 12L)
# random seed index
l <- landmarks_maxmin(X, seed_index = "random")
# plot landmark order at point positions
plot(X, asp = 1, pch = NA)
text(X, labels = order(l))
# minmax seed index
l <- landmarks_maxmin(X, seed_index = "minmax")
# plot landmark order at point positions
plot(X, asp = 1, pch = NA)
text(X, labels = order(l))
|
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