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distance/similarity measures

Entropy, Distance and Similarity Measures under Interval Valued Intuitionistic Fuzzy Environment

Entropy, Distance and Similarity Measures under Interval Valued Intuitionistic Fuzzy Environment

... numbers. Distance, entropy and similarity measures are the central arenas that are investigated by various researchers under intuitionistic and interval-valued fuzzy environment (IFE and ...These ...

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On order equivalences between distance and similarity measures on sequences and trees

On order equivalences between distance and similarity measures on sequences and trees

... stochastic similarity, proba- bilities are assigned to aspects of a mapping and mul- ...a similarity as we have defined ...between distance and similarity measures, in a very general ...

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Visual analytics of delays and interaction in movement data

Visual analytics of delays and interaction in movement data

... erent similarity measures to detect a loop pattern in the ultimate Frisbee data: (a) based on the Euclidean distance measure, (b) based on the similarity of headings, (c) based on the dynamic ...

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Implementation of similarity measures for event sequences in myCBR

Implementation of similarity measures for event sequences in myCBR

... two similarity measures for event sequences within the myCBR ...two similarity functions in the myCBR software: the Pirjo’s Edit Distance and the Match & Mismatch measures for event ...

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Support vector classification of remote sensing images using improved spectral Kernels

Support vector classification of remote sensing images using improved spectral Kernels

... In this paper two spectral similarity measures are incorporated into the SVM kernel and classification results on benchmark data are compared with the standard Euclidean distance based c[r] ...

13

Quantifying Protein Function Specificity in the Gene Ontology

Quantifying Protein Function Specificity in the Gene Ontology

... of distance or similarity measures be- tween protein ...four measures of function speci- ficity for GO terms: 1) number of ancestor terms; 2) number of offspring terms; 3) proportion of terms; ...

7

Similarity Measures for Relational Databases

Similarity Measures for Relational Databases

... to distance metrics, we con- sider more general similarity measures that satisfy the only condition of being reflexive, ...with similarity, where a measure of similarity assigns to a ...

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Volume 63: Software Clones 2014

Volume 63: Software Clones 2014

... of similarity and distance measures to identify cloned frag- ...specific distance function in a clone detector is arbitrary up to some ...of similarity measures, we can condition ...

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On the family-free DCJ distance and similarity

On the family-free DCJ distance and similarity

... rearrangement distance between two given genomes, ...DCJ distance between two given ...DCJ distance of two given genomes without prior gene family assignment, directly using the pairwise similarities ...

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Aspects of record linkage

Aspects of record linkage

... string similarity measures in the linking ...string distance for certain record fields between a set of candidate matches can be compensated if a plausible link graph for the set of candidate matches ...

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Data Analysis with Fuzzy Measure on Intuitionistic Fuzzy Sets

Data Analysis with Fuzzy Measure on Intuitionistic Fuzzy Sets

... concepts, similarity measure was also proposed to compute the degree of similarity between fuzzy sets ...and similarity measure, result represents the complementary information for each ...the ...

5

Probabilistic forecast of daily areal precipitation focusing on extreme events

Probabilistic forecast of daily areal precipitation focusing on extreme events

... the similarity criterion, which is used to identify simi- lar weather ...different similarity measures are tested: the euclidean distance (1), the Pearson correlation (2) and a combination of ...

7

Distance Based Similarity Between Text Documents Using Euclidean Distance

Distance Based Similarity Between Text Documents Using Euclidean Distance

... which similarity can be evaluated. The first category of similarity evaluation is based on the document size and structure the length of the document, the number of paragraphs, number of sentences, average ...

7

Detecting Paraphrases in Tamil Language Sentences

Detecting Paraphrases in Tamil Language Sentences

... The similarity between sentences is measured based on statistical information of ...statistical similarity between two sentences are calculated based on word distance using Euclidean measures, ...

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Harry: A Tool for Measuring String Similarity

Harry: A Tool for Measuring String Similarity

... their similarity is a basic operation in many application domains of machine learning, such as in information retrieval, natural language processing and ...available similarity measures for this ...

5

Some Novel Similarity Measures of Hesitant Fuzzy Sets And Their Applications To MADM

Some Novel Similarity Measures of Hesitant Fuzzy Sets And Their Applications To MADM

... of distance and similarity measure of ...hesitant distance measures based on the L_P metric, Euclidean distance, Hamming distance and exponential ...between distance and ...

7

Comparison of measures for haplotype similarity

Comparison of measures for haplotype similarity

... morgans were provided by Genetic Analysis Workshop 15 (GAW15). Estimates of centimorgans and LDU on a very fine scale require sophisticated methods with assump- tions about the coalescence process and may therefore be ...

6

Measures for Corpus Similarity and Homogeneity

Measures for Corpus Similarity and Homogeneity

... First, we dis- cuss difficulties in identifying what we mean by 'corpus similariti: human similarity judgements are not fine- grained enough, corpus similarity is inherently multi- dimen[r] ...

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Ensemble of Distance Measures for Multimodal Video Retrieval System

Ensemble of Distance Measures for Multimodal Video Retrieval System

... six distance measures, most relevant results are displayed, As each distance measure calculates the distance between the query input and the database videos/audios and then displays the ...

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Semi Automatic to Improve Ontology Mapping Process in Semantic Web Data Analysis

Semi Automatic to Improve Ontology Mapping Process in Semantic Web Data Analysis

... normalized similarity with the help of external ...linguistic similarity at element level and then by structural matchers that uses name and data type information of leaves in an iterative manner with ...

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