distance-based similarity measure
A New Similarity Measure for Combining Conflicting Evidences
... A distance based combination of continuous operators are developed in [Liang-zhou et ...A distance based similarity measure is used to define the averaging operator for the ...
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Different Algorithmic Approach for Type 2 Fuzzy Shortest Path Problem on a Network
... set”. Similarity is an important tool to provide the foundation for analogical reasoning between two fuzzy concepts and has widespread ...calculating similarity of fuzzy sets is based on their ...
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Similarity Measure of Interval Valued Intuitionistic Fuzzy Soft Sets of Root Type in Decision Making
... similarity measure based on distance between intuitionistic fuzzy soft ...A distance measure on interval valued intuitionistic fuzzy set for handling group decision making ...
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An Energy-Based Similarity Measure for Time Series
... or distance kernel-based methods, SimilB is nonpara- metric approach that does not require the specification of a kernel or the selection of a probability ...ilB measure in a clustering process or ...
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A Personalized Recommendation Algorithm on Integration of Item Semantic Similarity and Item Rating Similarity
... semantic similarity and item rating ...semantic similarity is calculated combining Earth Mover's Distance and Proportional Transportation Distance, which can utilize the semantic information ...
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Audio Query by Example Using Similarity Measures between Probability Density Functions of Features
... the similarity of the example signal and the samples in the queried database by calculating the distance between the probability density functions (pdfs) of their frame-wise acoustic ...for ...
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It Is Combined With the Similarity Measure Based Multi Viewpoint
... Clustering is the classification of objects into different groups, or more precisely, the partitioning of a data set into subsets (clusters), so that the data in each subset (ideally) share some common trait - often ...
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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 structures the length of the document, the number of paragraphs, number of sentences, ...
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Fast search based on generalized similarity measure
... Euclidean distance calculated by the first ...Euclidean distance, it can be transformed into the Euclidean distance by introducing augmented vectors that have one more dimension than the original ...
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An Optimized Density-based Algorithm for Anomaly Detection in High Dimensional Datasets
... algorithm based on identifying the neigh- borhoods of every instance in the dataset by using a distance/ similarity measure like Euclidean distance, and the instances which are ...
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Method for Improving the Similarity Measure of Sparse Scoring Based on the Bhattacharyya Measure
... the distance between two users or two items and their correlation coefficient are used to measure the degree of similarity of ...The distance also can be regarded as the correlation between ...
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Ensemble of Distance Measures for Multimodal Video Retrieval System
... six distance measure methods and spectrum matching with windowing for similarity ...six distance measure separately, then we calculate the frequency count of the retrieved videos and ...
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Study of Similarity Measures with Linear Discriminant Analysis for Face Recognition
... matching. Similarity measure or distance measure is also an important factor in assessing the quality of a face recognition ...various distance measures in literature which are widely ...
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Implementation of Hierarchical Clustering with Multiviewpoint-Based Similarity Measure
... shortest distance to form a large ...optimizing similarity measures, the optimal clusters can be formed and its performance is ...the similarity measure to the data. Hence the ...
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Vol 9, No 1 (2018)
... of similarity measures of IFSs to IVIFSs which are based on the distance measures of ...entropy measure for IVIFSs, which generalizes three entropy measures and also apply the ...
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Using the distance between sets of hierarchical taxonomic clinical concepts to measure patient similarity
... Patient similarity is a big data tool to improve the precision of predicting future health states of patients, which has im- portant clinical significance and paves the way to personal- ized ...patient ...
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Comparison of Ontology Based Semantic Similarity Measures in the Biomedical Text
... semantic similarity measures, which are used to measure the similarity between two ...best measure among differ- ent similarity measures that give us good result with less error ...to ...
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Kailing, Karin (2004): New Techniques for Clustering Complex Objects. Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik
... Several similarity measures for trees have been proposed in the literature [JWZ94, Sel77, ...structural similarity of XML documents [NJ02], shape recognition [SKK01] and chemical substructure search ...
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SSM DENCLUE : Enhanced Approach for Clustering of Sequential Data: Experiments and Test Cases
... them based on similarity and consists of minimizing the Intra-cluster similarity and maximizing the Inter-group ...to measure similarity between web ...multiple similarity ...
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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) ...
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