14 results for “cluster prediction”

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Research ArticleOpen accessIn the abstractHeterogeneities and Intra Sand-Body Compartmentalization in Late Oligocene Delta-Front Deposit, Niger Delta, NigeriaRaphael Oaikhena Oyanyan, Michael Ndubuisi OtiThis paper presents the study of the heterogeneity in lithofacies, porosity, permeability, mineral grain density, pore-throats sizes and hydraulic rock types and the intra sand-body compartmentalization in cored delta-front deposit of Greater Ughelli depobelt of Niger Delta. Sedimentological study of core samples results in the identification of nine lithofacies and the interpretation of environments of deposition as mainly proximal and … …Current Research in Geoscience, Vol. 6, Issue 1 · 28 Mar 2016 · 8,090 accessesView PDF Cite

Research ArticleOpen accessIn the abstractRecommendation Engine Formation Using Depth First Search and Genetic ApproachJ. S. Kanchana, S. SujathaThe requirement of online users in the website varies dynamically. The recommendation of web pages consisting of user expected information and data is performed by the online recommendation system. The recommendation engine must be self-adaptive and accurate. The existing algorithm uses Depth First Search (DFS) and bee's foraging approach to create navigation profiles by categorizing the current user activity. The … …Journal of Computer Science, Vol. 11, Issue 1 · 15 Sep 2014 · 7,343 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordAnchoring Public Health Forecasts: High-Precision Obesity Prevalence Estimation Via Hybrid Geodemographic Ensemble RegressionTrenton Ward, Isaac OsunmakindeObesity remains a major driver of chronic disease and rising healthcare costs in the United States. Yet, most existing predictive models rely on single-model classifiers and rarely incorporate spatial structure or ensemble-based regression, thereby limiting their ability to capture geodemographic variation. This study introduces a hybrid unsupervised–supervised ensemble framework that integrates K-Means spatial profiling with a Stacking Regressor to address … …Journal of Computer Science, Vol. 22, Issue 7 · 31 Jul 2026 · 632 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordImproving 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 PDF Cite