Algorithm and similarity measures for Binary data
Image Steganalysis with Binary Similarity Measures
... “embeds” m into a cover object c , to obtain the stego object s . The stego object is then sent through the public channel. In a pure steganography framework, the technique for em- bedding the message is unknown to Wendy ...
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Improved Binary Similarity Measures for Software Modularization
... of binary similarity measures (Choi et ...(JC) binary similarity measure produced better clus- tering results (Tzerpos and Holt, 2000) (Davey and Burd, 2000) (Lung et ...new ...
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A Standardized Treatment of Binary Similarity Measures with an Introduction to k Vector Percentage Normalized Similarity
... of Binary Similarity Measures with an Introduction to k-Vector Percentage Normalized Similarity Numerous papers have been written detailing methods to measure the similarity of two or ...
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Binary similarity measures for fingerprint analysis of qualitative metabolomic profiles
... of data where the presence of a particular metabolite is denoted by 1 and the absence by 0 are called binary metabolomic ...with binary metabolomic profiles is not a novelty, and several statistical ...
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Linear-Time Computation of Similarity Measures for Sequential Data
... the similarity of two sequences is a classical problem of computer ...sequence similarity in terms of local and global alignments (Needleman and Wunsch, 1970; Smith and Waterman, ...However, ...
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Cluster Analysis : A Comparison of Different Similarity Measures for SNP Data
... Still, similarity of different cluster results can be compared by regarding the par- titions as objects to which a certain similarity will be ...same data and the same cluster- ing algorithm ...
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A comparative study and performance evaluation of similarity measures for data clustering
... the similarity among objects, in such a way that more similar objects have lower dissimilarity ...distance measures can be employed for clustering ...different measures is a problem ...clustering ...
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Similarity Measures for OLAP Sessions
... each similarity function, we computed the ratio τ of the average similarity σt between the two sessions respecting the template and the average similarity σr between each seed and the 5 sessions ...
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4. Trajectory Similarity Measures
... trajectory similarity search problem have a plethora of applications, fact that gives the platform de- scribed in this work great ...the similarity between trajectory and finally search for the most similar ...
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Similarity measures over refinement graphs
... defining similarity over a refinement graph, which allows our similarity measures to be independent of the representation ...in similarity measures presented specialized algorithms to ...
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Quantitative Analysis of Similarity Measures of Distributions
... it possible to transfer 2D texture histograms to a logarithmic-polar space, making the stress value relatively low. To see some examples of the colour-based image retrieval system and the 2D texture projections consult ...
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Similarity Measures for Exam Timetabling Problems
... of similarity which is the one we consider ...for similarity based on which features seem to have the biggest effect on how successful an algorithm ...same algorithm would be suitable for both ...
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Measures Of Similarity Between Vague Binary Soft Sets
... Vague binary soft set is one hybrid structure developed for dealing complicated situations with uncertainties with two ...universes. Similarity measures have a major role in application field of set ...
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A Geometric View of Similarity Measures in Data Mining
... of data mining is to acquire information from a set of data for prospect applications using a ...the data, different interpretations may achieved on data depending on the used ...the ...
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Combination of molecular similarity measures using data fusion
... different measures of structural similarity have been suggested for matching chemical structures, each such measure focusing upon some particular type of molecular ...appropriate similarity measure ...
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Using Similarity Measures to Select Pretraining Data for NER
... of similarity measures To ana- lyze how proposed similarity measures correlate to the effectiveness of pretrained word vectors and LMs for the target NER tasks, we employ the Pearson ...
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Similarity Measures for Relational Databases
... relational data model this article focuses on traditional relational algebra equipped with extra features that allow query relaxation and simi- larity ...relational data model to incor- porate ...
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Comparison of measures for haplotype similarity
... phenotype similarity, where genetic similarity was defined by the number of intervals flanked by markers identical by state for pairs of ...different measures of genetic similarity based on ...
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Similarity measures for scientific workflows
... and data, and at the same time include pre-existing local data and scripts, carefully tailored to a specific aspect of the intended analysis, or tools not available as a web-service or inconvenient to ...
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Discretisation of Data in a Binary Neural k-Nearest Neighbour Algorithm
... some data sets though overall performance is erratic across these ten data ...d-dimensional data space by both KMInd and EMInd will have cells with varying widths across each ...three data ...
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