Class JaccardSimilarity


  • public final class JaccardSimilarity
    extends Object
    Jaccard similarity of two Theta Sketches.
    Author:
    Lee Rhodes
    • Constructor Detail

      • JaccardSimilarity

        public JaccardSimilarity()
    • Method Detail

      • jaccard

        public static double[] jaccard​(Sketch sketchA,
                                       Sketch sketchB)
        Computes the Jaccard similarity index with upper and lower bounds. The Jaccard similarity index J(A,B) = (A ^ B)/(A U B) is used to measure how similar the two sketches are to each other. If J = 1.0, the sketches are considered equal. If J = 0, the two sketches are distinct from each other. A Jaccard of .95 means the overlap between the two populations is 95% of the union of the two populations.

        Note: For very large pairs of sketches, where the configured nominal entries of the sketches are 2^25 or 2^26, this method may produce unpredictable results.

        Parameters:
        sketchA - given sketch A
        sketchB - given sketch B
        Returns:
        a double array {LowerBound, Estimate, UpperBound} of the Jaccard index. The Upper and Lower bounds are for a confidence interval of 95.4% or +/- 2 standard deviations.
      • exactlyEqual

        public static boolean exactlyEqual​(Sketch sketchA,
                                           Sketch sketchB)
        Returns true if the two given sketches have exactly the same hash values and the same theta values. Thus, they are equivalent.
        Parameters:
        sketchA - the given sketch A
        sketchB - the given sketch B
        Returns:
        true if the two given sketches have exactly the same hash values and the same theta values.
      • similarityTest

        public static boolean similarityTest​(Sketch measured,
                                             Sketch expected,
                                             double threshold)
        Tests similarity of a measured Sketch against an expected Sketch. Computes the lower bound of the Jaccard index JLB of the measured and expected sketches. if JLB ≥ threshold, then the sketches are considered to be similar with a confidence of 97.7%.
        Parameters:
        measured - the sketch to be tested
        expected - the reference sketch that is considered to be correct.
        threshold - a real value between zero and one.
        Returns:
        if true, the similarity of the two sketches is greater than the given threshold with at least 97.7% confidence.
      • dissimilarityTest

        public static boolean dissimilarityTest​(Sketch measured,
                                                Sketch expected,
                                                double threshold)
        Tests dissimilarity of a measured Sketch against an expected Sketch. Computes the upper bound of the Jaccard index JUB of the measured and expected sketches. if JUB ≤ threshold, then the sketches are considered to be dissimilar with a confidence of 97.7%.
        Parameters:
        measured - the sketch to be tested
        expected - the reference sketch that is considered to be correct.
        threshold - a real value between zero and one.
        Returns:
        if true, the dissimilarity of the two sketches is greater than the given threshold with at least 97.7% confidence.