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98 articles for “Cluster Analysis”
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Research ArticleOpen accessPhrase in the titleA Typology to Describe School Choice Policy in the United States: Using Cluster Analysis to Categorize States’ Charter School Law CharacteristicsWilliam Dabney, Bret Blackmon, Michelle M. LivermorePersistent educational inequality in the United States has inspired various school reform efforts with states adopting a wide variety of charter school laws. This study developed a typology of state-level charter school laws. U.S. states (N = 50) were described and categorized based on characteristics of their charter school laws related to autonomy, funding equity and growth. Autonomy referred to … …Journal of Social Sciences, Vol. 17, Issue 1 · 19 May 2021 · 7,058 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleHybrid Ant-Based Clustering Algorithm with Cluster Analysis TechniquesWafa’a Omar, Amr Badr, Abd El-Fattah HegazyCluster analysis is a data mining technology designed to derive a good understanding of data to solve clustering problems by extracting useful information from a large volume of mixed data elements. Recently, researchers have aimed to derive clustering algorithms from nature’s swarm behaviors. Ant-based clustering is an approach inspired by the natural clustering and sorting behavior of ant colonies. In … …Journal of Computer Science, Vol. 9, Issue 6 · 7 Jun 2013 · 7,306 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleFuzzy Meta Node Fuzzy Metagraph and its Cluster AnalysisD. Gaur, A. Shastri, R. BiswasProblem statement: In this study researchers propose a new fuzzy graph theoretic construct called fuzzy metagraph and a new method of clustering finding the similar fuzzy nodes in a fuzzy metagraph. Approach: We adopted T-norms (Triangular Norms) functions and join two or more T-norms to cluster the fuzzy nodes. Fuzzy metagraph is the fuzzyfication of the crisp Metagraphs using fuzzy … …Journal of Computer Science, Vol. 4, Issue 11 · 30 Nov 2008 · 6,951 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBotanical Composition and Yields of Forages in Natural Pastures Using Principal Component Analysis and Cluster Dendrogram in South Sulawesi, IndonesiaPurnama Isti Khaerani, Yunus Musa, Renny Fatmyah Utamy, Yasuyuki IshiiThis study aims to identify the composition and yields of forages in natural pastures using principal component analysis and cluster dendrogram in Gilireng and Majauleng subdistricts, Wajo regency, South Sulawesi, Indonesia. Pasture plants were collected using 20 randomly sampled quadrats to observe the botanical composition and yields of forages. The collected data regarding legume classification is analyzed by Multivariate Analysis … …OnLine Journal of Biological Sciences, Vol. 24, Issue 4 · 13 Jun 2024 · 5,082 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCluster and Correlation Analysis of Valuable Traits of Bean Cultivars Under Irrigation Conditions in KazakhstanKudaibergenov Mukhtar Sarsenbekovich, Bastaubaeva Sholpan Orazovna, Kanatkyzy Makpal et al.This study aimed to investigate a diverse collection of beans accessions under irrigation conditions in the Almaty region of Kazakhstan to identify promising genotypes for breeding. Over a ten-year period (2014–2024), 300 accessions were analyzed, of which 100 were selected for detailed assessment based on key agronomic traits including earliness, productivity, seed weight, disease resistance, protein content, and adaptability to … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 25 Mar 2026 · 1,378 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPerformance Evaluation of Apache Spark Vs MPI: A Practical Case Study on Twitter Sentiment AnalysisDeepa S Kumar, M Abdul RahmanThe advent of various processing frameworks which happens under big data technologies is due to tremendous dataset size and its complexity. The speed of execution was much higher with High Performance computing frameworks rather than big data processing frameworks. As majority of the jobs under big data are mostly data intensive rather than computation intensive, the High Performance Computing paradigms … …Journal of Computer Science, Vol. 13, Issue 12 · 23 Dec 2017 · 8,070 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMorphological Characterization and Variation in the Total Content of Reducing Sugars in Wild Populations of Agave angustifolia HawMartin Esqueda, Aldo Gutierrez, Guadalupe Palomino et al.Problem statement: Bacanora, a spirit, is distilled from wild populations of Agave angustifolia Haw. Loss of biodiversity must be taken into account when proposing sustainable management actions for this resource. In this study we identified the morphological variants of this species, as well as the weight and Total Content of Reducing Sugars (TRS) in the stem of the agave. Approach: … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 4 · 21 Oct 2011 · 8,553 accessesView PDFCite
Research ArticleOpen accessIn the keywordsManagement Policy in and Typology of State Park SystemsLowell Caneday, Debra Jordan, Yating LiangProblem statement: Parks, with particular emphasis on national and state parks, host varied interactions between human and natural systems. In particular, state park systems manage important resources related to quality of life and also are mainstays in tourism, economic development and preservation of heritage and conservation of ecosystems. Management of these parks and the human activity occurring in them is … …American Journal of Environmental Sciences, Vol. 5, Issue 2 · 30 Apr 2009 · 6,839 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImproving Clustering Robustness through Fuzzy Ensemble of K-Means and Mean ShiftLNC. Prakash K., Palamakula Ramesh Babu, Shaik Thaseentaj et al.Ensemble clustering has emerged as a powerful strategy to improve the robustness and accuracy of unsupervised learning, particularly when individual algorithms struggle with noisy, heterogeneous, or high-dimensional data. This study introduces a fuzzy-based ensemble approach that integrates the complementary strengths of K-Means and Mean Shift clustering, followed by fuzzy membership assignment for data points that remain ambiguous. The inclusion of … …Journal of Computer Science, Vol. 22, Issue 5 · 20 May 2026 · 1,257 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAssessment of Lead and Cadmium Content in the Soils and Plants in Industrial AreaGabriela Oprea, Cristina Mihali, Angela Michnea et al.Problem statement: The objective of this research was to assess the degree of soil pollution and also of Plant contamination with lead (Pb) and cadmium (Cd) in Baia Mare city (located in NW Romania) area which used to be one of the most important nonferrous metallurgical centers in Romania. Approach: Soil and plant samples were collected from 3 districts of … …American Journal of Environmental Sciences, Vol. 7, Issue 5 · 31 Oct 2011 · 7,251 accessesView PDFCite