pub struct AppxDbscanValidParams<F: Float, N> { /* private fields */ }
Expand description

The set of hyperparameters that can be specified for the execution of the Approximated DBSCAN algorithm.

Implementations

Distance between points for them to be considered neighbours.

Distance between points for them to be considered neighbours.

Minimum number of neighboring points a point needs to have to be a core point and not a noise point.

Get the approximate tolerance (tolerance * (1 + slack)) Approximation factor, allows the distance between two points for them to be considered neighbours to reach tolerance * (1 + slack)

Nearest neighbour algorithm used for range queries

Trait Implementations

Returns a copy of the value. Read more

Performs copy-assignment from source. Read more

Formats the value using the given formatter. Read more

This method tests for self and other values to be equal, and is used by ==. Read more

This method tests for !=.

Auto Trait Implementations

Blanket Implementations

Gets the TypeId of self. Read more

Immutably borrows from an owned value. Read more

Mutably borrows from an owned value. Read more

Returns the argument unchanged.

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

The alignment of pointer.

The type for initializers.

Initializes a with the given initializer. Read more

Dereferences the given pointer. Read more

Mutably dereferences the given pointer. Read more

Drops the object pointed to by the given pointer. Read more

The resulting type after obtaining ownership.

Creates owned data from borrowed data, usually by cloning. Read more

Uses borrowed data to replace owned data, usually by cloning. Read more

The type returned in the event of a conversion error.

Performs the conversion.

The type returned in the event of a conversion error.

Performs the conversion.