Enum MinitMethod 

pub enum MinitMethod {
    Random,
    Points,
    PlusPlus,
}

Initialization methods for kmeans2

Variants

Random

Generate k centroids from a Gaussian with mean and variance estimated from the data

Points

Choose k observations (rows) at random from data for the initial centroids

PlusPlus

K-means++ initialization (careful seeding)

Implementations

impl MinitMethod

pub fn parse_method(s: &str) -> Result<Self>

Parse a string into a MinitMethod (SciPy-compatible)

Arguments

• s - String representation of the initialization method

Returns

• The corresponding MinitMethod enum value

Errors

• Returns an error if the string is not recognized

Trait Implementations

impl Clone for MinitMethod

fn clone(&self) -> MinitMethod

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for MinitMethod

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl FromStr for MinitMethod

type Err = ClusteringError

The associated error which can be returned from parsing.

fn from_str(s: &str) -> Result<Self>

Parses a string s to return a value of this type.

impl PartialEq for MinitMethod

fn eq(&self, other: &MinitMethod) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Copy for MinitMethod

impl Eq for MinitMethod

impl StructuralPartialEq for MinitMethod