Improved sqrt-cosine similarity measurement [PDF]
Journal of Big Data, 2017 Text similarity measurement aims to find the commonality existing among text documents, which is fundamental to most information extraction, information retrieval, and text mining problems.
Sahar Sohangir, Dingding Wang
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Cosine similarity and distance measures for p,q− quasirung orthopair fuzzy sets: Applications in investment decision-making [PDF]
HeliyonSimilarity measures and distance measures are used in a variety of domains, such as data clustering, image processing, retrieval of information, and recognizing patterns, in order to measure the degree of similarity or divergence between elements or ...
Muhammad Rahim +4 more
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The Unsupervised Feature Selection Algorithms Based on Standard Deviation and Cosine Similarity for Genomic Data Analysis [PDF]
Frontiers in Genetics, 2021 To tackle the challenges in genomic data analysis caused by their tens of thousands of dimensions while having a small number of examples and unbalanced examples between classes, the technique of unsupervised feature selection based on standard deviation
Juanying Xie +5 more
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Cosine similarity measures between q-rung orthopair linguistic sets and their application to group decision making problems [PDF]
Scientific Reports, 2022 The q-rung orthopair linguistic set (q-ROLS), a combined version of linguistic term sets and q-rung orthopair fuzzy set, is an efficient mathematical tool to accomplish the imprecise information while solving the decision-making problems.
Jawad Ali, Muhammad Naeem
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Neutrosophic Refined Similarity Measure Based on Cosine Function [PDF]
Neutrosophic Sets and Systems, 2014 In this paper, the cosine similarity measure of neutrosophic refined (multi-) sets is proposed and its properties are studied. The concept of this cosine similarity measure of neutrosophic refined sets is the extension of improved cosine similarity ...
Said Broumi, Florentin Smarandache
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Cosine similarity knowledge distillation for surface anomaly detection. [PDF]
Sci RepAbstractThe current state-of-the-art anomaly detection methods based on knowledge distillation (KD) typically depend on smaller student networks or reverse distillation to address vanishing representations discrepancy on anomalies. These methods often struggle to achieve precise detection when dealing with complex texture backgrounds containing ...
Sheng S, Jing J, Wang Z, Zhang H.
europepmc +4 more sources
Effects of similarity networks in graph-based multi-omics classification. [PDF]
PLoS ONEAccurate classification of disease subtypes is a fundamental requirement of precision medicine especially for complex and heterogeneous conditions such as breast cancer and Alzheimer's disease.
Masrafe Bin Hannan Siam +4 more
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Application of novel similarity measures in electric vehicle charging station site selection based on q-rung orthopair hesitant fuzzy rough sets under quantitative information [PDF]
Scientific ReportsSimilarity measures provide a viable approach for evaluating the degree of similarity between two collections. They serve as effective procedures for addressing decision-making issues influenced by cognitive processes.
Attaullah +4 more
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Centrality-Based Paper Citation Recommender System [PDF]
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 2019 Researchers cite papers in order to connect the new research ideas with previous research. For the purpose of finding suitable papers to cite, researchers spend a considerable amount of time and effort.
Abdul Samad +3 more
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Journal of Applied Engineering and Technological Science, 2021 In the SiPaGa application, the codefication search process is still inaccurate, so OPD often make mistakes in choosing goods codes. So we need Cosine Similarity and TF-IDF methods that can improve the accuracy of the search. Cosine Similarity is a method
Sintia Sintia +2 more
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