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178.084 Articles

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A Multi-Agent K-Means Algorithm for Improved Parallel Data Clustering

--> Mohammed Ahmed Jubair ( Department of Computer Technical Engineering, College of Information Technology, Imam Ja'afar Al-Sadiq University, Al-Muthanna, Iraq) --> Salama A. Mostafa ( Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia.) --> Aida Mustapha ( Faculty of Applied Sciences and Technology, Universiti Tun Hussein Onn Malaysia, 84600, Panchor, Johor, Malaysia.) --> Zirawani Baharum ( Malaysian Institute of Industrial Technology, Universiti Kuala Lumpur, Persiaran Sinaran Ilmu, Bandar Seri Alam, 81750 Johor, Malaysia) --> Mohamad Aizi Salamat ( Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia.) --> Aldo Erianda ( Department of Information Technology, Politeknik Negeri Padang, Sumatera Barat, Indonesia) Mohammed Ahmed Jubair,Salama A. Mostafa,Aida Mustapha,Zirawani Baharum,Mohamad Aizi Salamat,Aldo Erianda --> Abstract : 0 Viewers PDF : 0 Viewers DOI: http://dx.doi.org/10.30630/joiv.6.1-2.934

Due to the rapid increase in data volumes, clustering algorithms are now finding applications in a variety of fields. However, existing clustering techniques have been deemed unsuccessful in managing large data volumes due to the issues of accuracy and hi... see more

K-means | decision-making | clustering | multi-agent system.

International Journal on Informatics Visualization , 2022

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Investigating the Efficiency of WordNet as Background Knowledge for Document Clustering

Iyad AlAgha, Rami Nafee

Traditional techniques of document clustering do not consider the semantic relationships between words when assigning documents to clusters. For instance, if two documents talk about the same topic but by using different words, these techniques may assign... see more

Document Clustering | WordNet | Similarity Measure | Ontology

Journal of Engineering Research and Technology , 2015

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Endometrial hyperplastic processes in perimenopausal women. Clinical and anamnestic analysis by using neural network clustering

Andrii Slyva

Hyperplastic processes of endometrium represent an extremely important, complex and multi-faceted problem of practical gynecology, because it takes from 10 to 50% in the gynecological pathology structure, and its incidence is increasing steadily. At the s... see more

Hyperplastic processes | endometrial hyperplasia | endometrial hyperplastic processes | perimenopausal | neural network clustering

Journal of Education; Health and Sport , 2019

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Definition of Typical Textures of Sedimentary Grains Using Co-occurrence Features And K-means Clustering Technique

Aleš Krupka

The paper deals with a definition of typicalstructure forms, which can be extracted from the surface of sedimentary grains. The co-occurrence features are used for this purpose. To find typical patterns, the K-means clustering technique is ... see more

International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems , 2013

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Feature Clustering based MIM for a New Feature Extraction Method

Sabra El Ferchichi,Salah Zidi,Salah Maouche,Kaouther Laabidi,Moufida Ksouri

In this paper, a new unsupervised Feature Extraction appoach is presented, which is based on feature clustering algorithm. Applying a divisive clustering algorithm, the method search for a compression of the information contained in the ori... see more

feature extraction | Mutual Information Maximization (MIM) | similarity measure | clustering

International Journal of Computers Communications & Control , 2013

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Non-Negative Factorization for Clustering of Microarray Data

Lucian Morgos

Typically, gene expression data are formed by thousands of genes associated to tens or hundreds of samples. Gene expression data comprise relevant (discriminant)information as well as irrelevant information often interpreted as noise. The irrele... see more

computational intelligence | microarray data analysis | clustering | recognition

International Journal of Computers Communications & Control , 2014

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Principal Component and Clustering Analyses for Seasonal Classification of Karachi

Naeem Sadiq

Queer and vigorous features regarding the weather of Karachi inspire to undertake the seasonal classification of it. There are several methods formulated for this purpose, usually consist of two stages. In the first stage, atmospheric circulation pattern ... see more

Pakistan Journal of Meteorology , 2011

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A Survey on Video Content Analysis

Yamini Gupta

This work aims at developing a better understanding towards the process of Video Content Analysis. Video analysis is basically how the computer interprets any video. This process of analyzing is completed in 4 steps namely, feature extraction, Structural ... see more

INTERNATIONAL JOURNAL OF RESEARCH IN ADVANCE ENGINEERING , 2015

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Orthographic measures of language distances between the official South African languages

P.N. Zulu,G. Botha,E. Barnard

AbstractTwo methods for objectively measuring similarities and dissimilarities between the eleven official languages of South Africa are described. The first concerns the use of n-grams. The confusions between different languages in a text-based language ... see more

KeywordsClustering | Language Distances | Language Identification | Levenshtein Distance | N-Gram

Literator , 2008

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