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10 articles for “Similarity/Distance Measures”

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Research ArticleOpen accessIn the keywordsCOMPARATIVE STUDY OF K-MEANS AND K-MEANS++ CLUSTERING ALGORITHMS ON CRIME DOMAINBashar Aubaidan, Masnizah Mohd, Mohammed AlbaredThis study presents the results of an experimental study of two document clustering techniques which are k-means and k-means++. In particular, we compare the two main approaches in crime document clustering. The drawback of k-means is that the user needs to define the centroid point. This becomes more critical when dealing with document clustering because each center point represented by … …Journal of Computer Science, Vol. 10, Issue 7 · 19 Feb 2014 · 7,762 accessesView PDFCite
Research ArticleOpen accessIn the abstractSemSimp: A Parametric Method for Evaluating the Semantic Similarity of Digital ResourcesAntonio De Nicola, Anna Formica, Ida Mele, Francesco TaglinoAbioui, H., Idarrou, A., Bouzit, A., & Mammass, D. (2018). Towards a Novel and Generic Approach for OWL Ontology Weighting. Procedia Computer Science, 127, 426–435. https://doi.org/10.1016/j.procs.2018.01.140 Adhikari, A., Dutta, B., Dutta, A., Mondal, D., & Singh, S. (2018). An intrinsic information content-based semantic similarity measure considering the disjoint common subsumers of concepts of an ontology. Journal of the Association for … …Journal of Computer Science, Vol. 20, Issue 8 · 27 May 2024 · 5,773 accessesView PDFCite
Research ArticleOpen accessIn the abstractArabic Personal Name Matching: Names Written using Latin AlphabetAttia Nehar, Slimane Bellaouar, Djelloul Ziadi, Khaled Moulay OmarAbstract: In many Arab countries’ public administrations, Arabic personal names are written with Latin alphabet, generally, in various ways by different writers. This has led to many problems when it comes to connecting these administrations. The aim of this study was to propose two new approaches for the pairwise matching of Arabic personal names. The first approach is based on … …Journal of Computer Science, Vol. 17, Issue 9 · 29 Sep 2021 · 7,602 accessesView PDFCite
Research ArticleOpen accessIn the abstractMedical Images Registration based on Normalized Dissimilarity IndexAmina KHARBACH, Mouad EL OMARI, Amar MARDANI et al.Image registration is an essential step in a large number of processing chains for medical images. It is used to align two images taken at different times and from different sensors as well. In this paper, we are interested in the rigid registration and similarity measures. We describe a new registration approach, based on the normalized dissimilarity index that results … …Journal of Computer Science, Vol. 13, Issue 9 · 28 Sep 2017 · 7,527 accessesView PDFCite
Research ArticleOpen accessIn the abstractSchoenberg Logarithmic Image Similarity in Prewitt-Gabor-Zernike DomainAhmed Jebur Ali, Zahir M. Hussain, Mohammed Sahib Mechee, Zainab Ali KhalafThis paper represents a new approach for face recognition that incorporates Prewitt edge detection, Gabor filter and Zernike moments to transform the image into a unified domain. On this joint domain, five distance metrics are constructed using Schoenberg transform for the purpose of defining efficient similarity measures for holistic face recognition. The proposed Schoenberg similarity applies Schoenberg transform to the … …American Journal of Applied Sciences, Vol. 14, Issue 9 · 28 Sep 2017 · 7,931 accessesView PDFCite
EditorialOpen accessIn the abstractData Mining in Time Series: Current Study and Future TrendTan Yan, Liudmila Ulanova, Ye Ouyang, Fengyuan XuTime series represent sequences of data points where usually their order is defined by the time when they were recorded. Thus, virtually any sequential recordings can be stored as time series: Stock prices, weather conditions, physical system parameters change, product quality monitoring, etc. This leads to ubiquity of time series in all scientific and practical fields (Esling and Agon, 2012); … …Journal of Computer Science, Vol. 10, Issue 12 · 26 Jan 2015 · 8,756 accessesView PDFCite
Research ArticleOpen accessIn the abstractCOLOR PERCEPTION HISTOGRAM FOR IMAGE RETRIEVAL USING MULTIPLE SIMILARITY MEASURESR. Malini, C. VasanthanayakiThis study aims to increase the retrieval efficiency of proposed image retrieval system on the basis of color content. A new idea of feature extraction based on color perception histogram is proposed. First, the color histogram is constructed for HSV image. Secondly, the true color and grey color components are identified based on hue and intensity. The weight for true … …Journal of Computer Science, Vol. 10, Issue 6 · 30 Jan 2014 · 6,606 accessesView PDFCite
Research ArticleOpen accessIn the abstractSHAPE RETRIEVAL THROUGH MAHALANOBIS DISTANCE WITH SHORTEST AUGMENTING PATH ALGORITHMS. Muruganathan, N. Devarajan, D. Chitra, T. ManigandanShape matching and object recognition plays an vital role in the computer vision. The shape matching is difficult in case of the real world images like mpeg database images since the real world images has the internal and external contours. The Mahalanobis distance based shape context approach is proposed to measure similarity between shapes and exploit it for shape retrieval. … …Journal of Computer Science, Vol. 10, Issue 4 · 3 Dec 2013 · 6,856 accessesView PDFCite
Research ArticleOpen accessIn the abstractAUTOMATIC ESSAY GRADING SYSTEM FOR SHORT ANSWERS IN ENGLISH LANGUAGEAli Muftah Ben Omran, Mohd Juzaiddin Ab AzizAutomatic Essay Grading (AEG) system is defined as the computer technology that evaluates and grades written prose. The short essay answer, where the essay is written in short sentences where it has two types the open ended short answer and the close ended short answer where it is our research domain based on the computer subject. The Marking of short … …Journal of Computer Science, Vol. 9, Issue 10 · 5 Sep 2013 · 7,417 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancement of Search Results Using Dynamic Document Seed Reranking AlgorithmAngelina Geetha, A. KannanWe proposed an algorithm to improve the precision of top retrieved documents by re-ordering the retrieved documents in the initial retrieval. To re-order the documents, we first automatically extract key terms and key phrases from top N retrieved documents and generate a document index for each document. Using the standard similarity metrics, a document similarity matrix is generated for these … …Journal of Computer Science, Vol. 3, Issue 6 · 30 Jun 2007 · 6,745 accessesView PDFCite