Package

smile.math

distance

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package distance

Distance functions.

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Type Members

  1. class Hamming extends Distance[Array[Int]]

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    Hamming distance between two bit strings.

    Hamming distance between two bit strings. Note that we treat each integer in the input array as a bit string. In contrast, HammingDistance treats each integer in the input array as a single value.

  2. class MeanMahanttan extends Distance[Array[Int]]

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    Mean Mahantan distance.

    Mean Mahantan distance. Compared to regular Manhattan distance, it normalizes the distance by the sum of contingency table values.

    References

    • Seung-Seok Choi, et al. A Survey of Binary Similarity and Distance Measures. http://www.iiisci.org/journal/CV$/sci/pdfs/GS315JG.pdf

  3. class PatternDifference extends Distance[Array[Int]]

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    Pattern difference distance.

    Pattern difference distance.

    References

    • Seung-Seok Choi, et al. A Survey of Binary Similarity and Distance Measures. http://www.iiisci.org/journal/CV$/sci/pdfs/GS315JG.pdf

  4. class ShapeDifference extends Distance[Array[Int]]

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    Shape Difference distance.

    Shape Difference distance.

    References

    • Seung-Seok Choi, et al. A Survey of Binary Similarity and Distance Measures. http://www.iiisci.org/journal/CV$/sci/pdfs/GS315JG.pdf

  5. class SizeDifference extends Distance[Array[Int]]

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    Size Difference distance.

    Size Difference distance.

    References

    • Seung-Seok Choi, et al. A Survey of Binary Similarity and Distance Measures. http://www.iiisci.org/journal/CV$/sci/pdfs/GS315JG.pdf

  6. class Vari extends Distance[Array[Int]]

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    Vari distance class.

    Vari distance class.

    References

    • Seung-Seok Choi, et al. A Survey of Binary Similarity and Distance Measures. http://www.iiisci.org/journal/CV$/sci/pdfs/GS315JG.pdf

Value Members

  1. def contingency(x: Array[Int], y: Array[Int]): (Int, Int, Int, Int)

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    Build the contingency matrix (a, b, c, d) where for each bite i, j of vector 1 and 2 :

    Build the contingency matrix (a, b, c, d) where for each bite i, j of vector 1 and 2 :

    • a is incremented if i = 1, j = 1
    • b is incremented if i = 1, j = 0
    • c is incremented if i = 0, j = 1
    • d is incremented if i = 0, j = 0

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