compute_pl: Compute persistent landscape from the persistent diagram

In hosscine/phacm: The R Package for Analyzing Persistent Homology and Cycles of Manifold

Description

Uses TDA::landscape() to compute persistent landscape. The main difference between the backend function is that compute_pl computes for all dimensions of the persistent diagram at once.

Usage

compute_pl(pd)

Arguments

pd	persistent diagram object inherits pd.

Details

The persistent landscape is efficient way to count the betti number of persistent diagram. Because it can reduce useless holes that has scaller persistence and convert the diagram to a vector. We can apply analzing methods to persistent landscape easily than the persistent diagram.

Value

persistent landscape object inherits pl.

See Also

compute_pd, TDA::landscape(), autoplot.pl(), count_local_maximal()

Examples

anulus <- anulusUnif(100)
anulus.pd <- compute_pd(anulus, 1, 1)

anulus.pl <- compute_pl(anulus.pd)
plot(anulus.pl)

hosscine/phacm documentation built on May 23, 2019, 1:46 p.m.