Distance-Measures¶

chebyshev - (chebyshev)¶

The distance is calculated as .

euclidean - (euclidean)¶

The distance is calculated as .

hamming - (hamming)¶

The distance is calculated as the number of components which differ over the number of components.

manhattan - (manhattan)¶

The distance is calculated as .

minkowski - (minkowski)¶

The distance is calculated as .

• name: p
• min: 0.001
• default:
• type: float

seuclidean - (seuclidean)¶

The distance is calculated as , where is the standard deviation between the and in the data set.

sqeuclidean - (sqeuclidean)¶

The distance is calculated as .

weuclidean - (weuclidean)¶

The distance is calculated as .

Parameters¶

weights - Comma-separated list of weights for each dimension.¶

• name: Weigths
• default:
• type: string

wminkowski - (wminkowski)¶

The distance is calculated as .

Parameters¶

• name: p
• min: 0.001
• default:
• type: float

weights - Comma-separated list of weights for each dimension.¶

• name: Weights
• default:
• type: string