@saehrimnir/druidjs / LDA

Class: LDA<T>

Defined in: dimred/LDA.js:20

Linear Discriminant Analysis (LDA)

A supervised dimensionality reduction technique that finds the axes that maximize the separation between multiple classes.

Template

Extends

• DR

Type Parameters

Type Parameter	Description
T extends InputType

Constructors

Constructor

new LDA<T>(X: T, parameters: Partial<ParametersLDA> & {
  labels: any[] | Float64Array<ArrayBufferLike>;
}): LDA<T>;

Defined in: dimred/LDA.js:28

Linear Discriminant Analysis.

Parameters

Parameter	Type	Description
X	T	The high-dimensional data.
parameters	Partial<ParametersLDA> & { labels: any[] | Float64Array<ArrayBufferLike>; }	Object containing parameterization of the DR method.

Returns

LDA<T>

See

https://onlinelibrary.wiley.com/doi/10.1111/j.1469-1809.1936.tb02137.x

Overrides

DR.constructor

Properties

Property	Type	Inherited from	Defined in
__input	T	DR.__input	dimred/DR.js:38
_D	number	DR._D	dimred/DR.js:20
_is_initialized	boolean	DR._is_initialized	dimred/DR.js:26
_N	number	DR._N	dimred/DR.js:22
_parameters	ParametersLDA	DR._parameters	dimred/DR.js:41
_randomizer	Randomizer	DR._randomizer	dimred/DR.js:24
_type	"array" | "matrix" | "typed"	DR._type	dimred/DR.js:46
X	Matrix	DR.X	dimred/DR.js:48
Y	Matrix	DR.Y	dimred/DR.js:50

Accessors

projection

Get Signature

get projection(): T;

Defined in: dimred/DR.js:211

Returns

T

The projection in the type of input X.

Inherited from

DR.projection

Methods

check_init()

check_init(): DR<T, ParametersLDA>;

Defined in: dimred/DR.js:202

If the respective DR method has an init function, call it before transform.

Returns

DR<T, ParametersLDA>

Inherited from

DR.check_init

---

generator()

generator(): Generator<T, T, void>;

Defined in: dimred/LDA.js:41

Transforms the inputdata X to dimensionality d.

Returns

Generator<T, T, void>

A generator yielding the intermediate steps of the projection.

Overrides

DR.generator

---

init()

abstract init(...args: unknown[]): void;

Defined in: dimred/DR.js:193

Parameters

Parameter	Type	Description
...args	unknown[]	-

Returns

void

Inherited from

DR.init

---

parameter()

Call Signature

parameter(): ParametersLDA;

Defined in: dimred/DR.js:74

Get all Parameters.

Returns

ParametersLDA

Inherited from

DR.parameter

Call Signature

parameter<K>(name: K): ParametersLDA[K];

Defined in: dimred/DR.js:80

Get value of given parameter.

Type Parameters

Type Parameter	Description
K extends keyof ParametersLDA

Parameters

Parameter	Type	Description
name	K	Name of the parameter.

Returns

ParametersLDA[K]

Inherited from

DR.parameter

Call Signature

parameter<K>(name: K, value: ParametersLDA[K]): LDA<T>;

Defined in: dimred/DR.js:87

Set value of given parameter.

Type Parameters

Type Parameter	Description
K extends keyof ParametersLDA

Parameters

Parameter	Type	Description
name	K	Name of the parameter.
value	ParametersLDA[K]	Value of the parameter to set.

Returns

LDA<T>

Inherited from

DR.parameter

---

transform()

transform(): T;

Defined in: dimred/LDA.js:51

Transforms the inputdata X to dimensionality d.

Returns

T

• The projected data.

Overrides

DR.transform

---

transform_async()

transform_async(...args: unknown[]): Promise<T>;

Defined in: dimred/DR.js:233

Computes the projection.

Parameters

Parameter	Type	Description
...args	unknown[]	Arguments the transform method of the respective DR method takes.

Returns

Promise<T>

The dimensionality reduced dataset.

Inherited from

DR.transform_async

---

generator()

static generator<T, Para>(X: T, parameters: Para): Generator<T, T, void>;

Defined in: dimred/LDA.js:137

Type Parameters

Type Parameter	Description
T extends InputType
Para extends { seed?: number; }

Parameters

Parameter	Type	Description
X	T	-
parameters	Para	-

Returns

Generator<T, T, void>

Overrides

DR.generator

---

transform()

static transform<T, Para>(X: T, parameters: Para): T;

Defined in: dimred/LDA.js:124

Type Parameters

Type Parameter	Description
T extends InputType
Para extends { seed?: number; }

Parameters

Parameter	Type	Description
X	T	-
parameters	Para	-

Returns

T

Overrides

DR.transform

---

transform_async()

static transform_async<T, Para>(X: T, parameters: Para): Promise<T>;

Defined in: dimred/LDA.js:151

Type Parameters

Type Parameter	Description
T extends InputType
Para extends { seed?: number; }

Parameters

Parameter	Type	Description
X	T	-
parameters	Para	-

Returns

Promise<T>

Overrides

DR.transform_async