R6 Class for Strong Witness Complex

A Witness complex \(\mathrm{Wit}(W,L)\) is a simplicial complex defined on two sets of points in \(R^D\). The data structure is described in Boissonnat and Maria (2014) .

Details

The class constructs a (strong) witness complex for a given table of nearest landmarks with respect to witnesses.

Super classes

rgudhi::PythonClass -> rgudhi::WitnessComplex -> StrongWitnessComplex

Methods

Public methods

• StrongWitnessComplex$new()

• StrongWitnessComplex$clone()

Inherited methods

• rgudhi::PythonClass$get_python_class()
• rgudhi::PythonClass$set_python_class()
• rgudhi::WitnessComplex$create_simplex_tree()

---

Method new()

StrongWitnessComplex constructor.

Usage

StrongWitnessComplex$new(nearest_landmark_table)

Arguments

nearest_landmark_table

A list of tibbles specifying for each witness w, the ordered list of nearest landmarks with id in column nearest_landmark and distance to w in column distance.

Returns

A StrongWitnessComplex object storing the strong Witness complex.

---

Method clone()

The objects of this class are cloneable with this method.

Usage

StrongWitnessComplex$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

if (FALSE) { # reticulate::py_module_available("gudhi")
withr::with_seed(1234, {
  l <- list(
    tibble::tibble(
      nearest_landmark = sample.int(10),
      distance = sort(rexp(10))
    ),
    tibble::tibble(
      nearest_landmark = sample.int(10),
      distance = sort(rexp(10))
    )
  )
})
wc <- StrongWitnessComplex$new(nearest_landmark_table = l)
wc
}