@wholebuzz/cluster / Exports / math
• Const objectCosineSimilarity: any
Defined in: math.ts:2
• Const vectorCosineSimilarity: any
Defined in: math.ts:1
▸ isOneDimensional(arr: number[] | number[][]): arr is number[]
| Name | Type |
|---|---|
arr |
number[] | number[][] |
Returns: arr is number[]
Defined in: math.ts:4
▸ mahalanobisDistance2(mean: number[], diagCovar: number[], vector: number[]): number
Computes Mahalanobis distance squared from mean to vector, given a diagonal covariance matrix. This is the primary term in Guassian PDF. References: [1]
| Name | Type | Description |
|---|---|---|
mean |
number[] | The center to measure distance from. |
diagCovar |
number[] | Array specifying the diagonal of the covariance matrix. |
vector |
number[] | The query vector to measure distance to. |
Returns: number
Defined in: math.ts:37
▸ maxIndex(arr: number[]): number
| Name | Type |
|---|---|
arr |
number[] |
Returns: number
Defined in: math.ts:8
▸ Const maxKey(obj: Record<string, number>): string
| Name | Type |
|---|---|
obj |
Record<string, number> |
Returns: string
Defined in: math.ts:12
▸ newPermutation(d: number): bigint[]
Creates a random permutation of the integers from 0 to d - 1.
| Name | Type | Description |
|---|---|---|
d |
number | The number of integers in the set. |
Returns: bigint[]
Defined in: math.ts:50
▸ objectMean(arr: Record<string, number>[] | number[][]): Record<string, number>
| Name | Type |
|---|---|
arr |
Record<string, number>[] | number[][] |
Returns: Record<string, number>
Defined in: math.ts:22
▸ softMax(values: number[]): number[]
| Name | Type |
|---|---|
values |
number[] |
Returns: number[]
Defined in: math.ts:15