Class FuzzyKNN

Fuzzy k-nearest neighbor

Index

Constructors

Properties

_c _classes _d _k _m _p _u

Accessors

Methods

_near_points add fit predict

Constructors

constructor

new FuzzyKNN(k?: number, m?: number): FuzzyKNN
Parameters
- Optionalk: number
  Number of neighborhoods
- Optionalm: number
  Factor of weight for distance
Returns FuzzyKNN
- Defined in lib/model/fuzzy_knearestneighbor.d.ts:9

Properties

_c

_c: any[]

_classes

_classes: any[]

_d

_d: (a: any, b: any) => number

_k

_k: number

_m

_m: number

_p

_p: any[]

_u

_u: any[]

Accessors

categories

get categories(): any[]
Category list

Returns any[]
- Defined in lib/model/fuzzy_knearestneighbor.d.ts:21

Methods

_near_points

_near_points(data: any): any[]
Parameters
- data: any
Returns any[]
- Defined in lib/model/fuzzy_knearestneighbor.d.ts:22

add

add(point: number[], category?: any): void
Add a data.
Parameters
- point: number[]
  Training data
- Optionalcategory: any
  Target value
Returns void
- Defined in lib/model/fuzzy_knearestneighbor.d.ts:28

fit

fit(datas: number[][], targets: any[]): void
Add datas.
Parameters
- datas: number[][]
  Training data
- targets: any[]
  Target values
Returns void
- Defined in lib/model/fuzzy_knearestneighbor.d.ts:34

predict

predict(datas: number[][]): number[][]
Returns predicted categories.
Parameters
- datas: number[][]
  Sample data
Returns number[][]
Predicted values
- Defined in lib/model/fuzzy_knearestneighbor.d.ts:40