pub struct Clustering { /* private fields */ }Expand description
The Clustering problem.
Given a set of n elements with pairwise distances, a cluster count
bound K, and a diameter bound B, determine whether there exists
a partition of the elements into at most K non-empty clusters such
that for every cluster, all pairwise distances within that cluster
are at most B.
§Representation
Each element i is assigned a cluster index config[i] ∈ {0, ..., K-1}.
The problem is satisfiable iff every non-empty cluster has all pairwise
distances ≤ B.
§Example
use problemreductions::models::misc::Clustering;
use problemreductions::{Problem, BruteForce};
// 4 elements, 2 clusters, diameter bound 1
let distances = vec![
vec![0, 1, 3, 3],
vec![1, 0, 3, 3],
vec![3, 3, 0, 1],
vec![3, 3, 1, 0],
];
let problem = Clustering::new(distances, 2, 1);
let solver = BruteForce::new();
let solution = solver.solve(&problem).unwrap();
assert!(solution.is_some());Implementations§
Source§impl Clustering
impl Clustering
Sourcepub fn new(
distances: Vec<Vec<i64>>,
num_clusters: usize,
diameter_bound: i64,
) -> Self
pub fn new( distances: Vec<Vec<i64>>, num_clusters: usize, diameter_bound: i64, ) -> Self
Create a new Clustering instance.
§Panics
Panics if:
distancesis emptydistancesis not squaredistancesis not symmetric- diagonal entries are not zero
num_clustersis zero
Sourcepub fn num_elements(&self) -> usize
pub fn num_elements(&self) -> usize
Returns the number of elements.
Sourcepub fn num_clusters(&self) -> usize
pub fn num_clusters(&self) -> usize
Returns the maximum number of clusters K.
Sourcepub fn diameter_bound(&self) -> i64
pub fn diameter_bound(&self) -> i64
Returns the diameter bound B.
Trait Implementations§
Source§impl BruteForceProblem for Clustering
impl BruteForceProblem for Clustering
Source§fn dimensions(&self) -> Vec<usize>
fn dimensions(&self) -> Vec<usize>
Cardinality of each coordinate in the brute-force search space.
Source§fn num_variables(&self) -> usize
fn num_variables(&self) -> usize
Number of coordinates in the brute-force search space.
Source§impl Clone for Clustering
impl Clone for Clustering
Source§fn clone(&self) -> Clustering
fn clone(&self) -> Clustering
Returns a duplicate of the value. Read more
1.0.0 (const: unstable) · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from
source. Read moreSource§impl Debug for Clustering
impl Debug for Clustering
impl DeclaredVariant for Clustering
Source§impl<'de> Deserialize<'de> for Clustering
impl<'de> Deserialize<'de> for Clustering
Source§fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
Deserialize this value from the given Serde deserializer. Read more
Source§impl Problem for Clustering
impl Problem for Clustering
Source§const NAME: &'static str = "Clustering"
const NAME: &'static str = "Clustering"
Base name of this problem type (e.g., “MaximumIndependentSet”).
Source§fn parameter_names() -> &'static [&'static str]
fn parameter_names() -> &'static [&'static str]
Canonical parameter names for this problem model.
Source§fn parameters(&self) -> ProblemParameters
fn parameters(&self) -> ProblemParameters
Measure the complete canonical parameters of this concrete instance.
Source§fn variant() -> Vec<(&'static str, &'static str)>
fn variant() -> Vec<(&'static str, &'static str)>
Returns variant attributes derived from type parameters. Read more
Source§fn evaluate(&self, config: &Self::Solution) -> Result<Or, EvaluationError>
fn evaluate(&self, config: &Self::Solution) -> Result<Or, EvaluationError>
Evaluate the problem on a solution.
Source§fn problem_type() -> ProblemType
fn problem_type() -> ProblemType
Look up this problem’s catalog entry. Read more
Source§impl ReduceTo<Clustering> for KColoring<K3, SimpleGraph>
impl ReduceTo<Clustering> for KColoring<K3, SimpleGraph>
Source§fn reduce_to(&self) -> Result<Self::Result, ReductionError>
fn reduce_to(&self) -> Result<Self::Result, ReductionError>
Reduce this problem to the target problem type.
Source§fn target_construction(error: ConstructionError) -> ReductionErrorwhere
Self: Sized,
fn target_construction(error: ConstructionError) -> ReductionErrorwhere
Self: Sized,
Attach this reduction edge to a target-construction failure.
Source§impl ReduceTo<ILP> for Clustering
impl ReduceTo<ILP> for Clustering
Source§fn reduce_to(&self) -> Result<Self::Result, ReductionError>
fn reduce_to(&self) -> Result<Self::Result, ReductionError>
Reduce this problem to the target problem type.
Source§fn target_construction(error: ConstructionError) -> ReductionErrorwhere
Self: Sized,
fn target_construction(error: ConstructionError) -> ReductionErrorwhere
Self: Sized,
Attach this reduction edge to a target-construction failure.
Auto Trait Implementations§
impl Freeze for Clustering
impl RefUnwindSafe for Clustering
impl Send for Clustering
impl Sync for Clustering
impl Unpin for Clustering
impl UnsafeUnpin for Clustering
impl UnwindSafe for Clustering
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T: ?Sized,
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fn evaluate_dyn(&self, solution: &Value) -> Result<String, EvaluationError>
Evaluate a configuration and return the CLI-facing metric string.
Source§fn evaluate_json(&self, solution: &Value) -> Result<Value, EvaluationError>
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Evaluate a configuration and return the result as a serializable JSON value.
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fn serialize_json(&self) -> Value
Serialize the problem to a JSON value.
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fn problem_name(&self) -> &'static str
Return the problem name (
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