Class DiffusionMap

constructor

• new DiffusionMap(
      t: number,
      rd: number,
      kernel?:
          | "gaussian"
          | { name: "gaussian" }
          | ((arg0: number[], arg1: number[]) => number),
  ): DiffusionMap

  Parameters

  • t: number

    Power parameter

  • rd: number

    Reduced dimension

  • Optionalkernel: "gaussian" | { name: "gaussian" } | ((arg0: number[], arg1: number[]) => number)

    Kernel name

  Returns DiffusionMap

_k

_rd

_t

predict

• predict(x: number[][]): number[][]

  Returns reduced values.

  Parameters

  • x: number[][]

    Training data

  Returns number[][]

  Predicted values