Similarity measures are essential to solve many pattern recognition problems such as classification, clustering, and retrieval problems. Various similarity measures are categorized in both syntactic and semantic relationships. In this paper we present a novel similarity, Unilateral Jaccard Similarity Coefficient (uJaccard), which doesn’t only take into consideration the space among two points b...

iris belongs toiridaceae family and it is monocotyledon. iris is one of the important ornamental and medicinal plants. 34 iris genotypes (14 species) collected from different provinces of iran were planted at national institute of ornamental plants (niop) iran. all of the species evaluated for 15 quantitative traits and 30 qualitative traits. results showed that the highest positive correlation...

A cyclic unary regular language is a regular language over a unary alphabet that is represented by a cyclic automaton. We propose a similarity measure for cyclic unary regular languages by modifying the Jaccard similarity coefficient and the Sørensen coefficient to measure the level of overlap between such languages. This measure computes the proportion of strings that are shared by two or more...

We present larger-scale evidence overturning previous results, showing that among the many alternative phrasal lexical similarity measures based on word vectors, the Jaccard coefficient most increases the robustness of MEANT, the recently introduced, fully-automatic, state-of-the-art semantic MT evaluation metric. MEANT critically depends on phrasal lexical similarity scores in order to automat...

Similarity measures are widely used in various applications such as information retrieval, image and object recognition, text retrieval, and web data search. In this paper, we propose similarity-based methods for defect detection on patterned textures using five different similarity measures, viz., Normalized Histogram Intersection Coefficient, Bhattacharyya Coefficient, Pearson Product-moment ...

In this extended abstract, we describe and analyse a streaming probabilistic sketch, HYPERMINHASH, to estimate the Jaccard index (or Jaccard similarity coefficient) over two sets A and B. HyperMinHash can be thought of as a compression of standard logn-space MinHash by building off of a HyperLogLog count-distinct sketch. For a multiplicative approximation error 1+ on a Jaccard index t, given a ...

In this paper we present a hybrid approach based on combining fuzzy clustering, seed region growing, and Jaccard similarity coefficient algorithms to measure gray (GM) and white matter tissue (WM) volumes from magnetic resonance images (MRIs). The proposed algorithm incorporates intensity and anatomic information for segmenting of MRIs into different tissue classes, especially GM and WM. It sta...

in this research, issr technique was applied to assess genetic diversity among 56 chickpea lines. out of 34 primers, nine primers produced appropriate banding patterns and produced 35 polymorphic bands in chickpea lines. mean percentage of polymorphism of the primers was 66.01 with range of 25 to 100 percent. mean of nei's genetic diversity and shannon information index over all primers we...

The Jaccard/Tanimoto coefficient is an important workload, used in a large variety of problems including drug design fingerprinting, clustering analysis, similarity web searching and image segmentation. This paper evaluates the Jaccard coefficient on the the Cell/B.E.processor and the Intel R ©Xeon R ©dual-core platform. In our work, we have developed a novel parallel algorithm specially suited...