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5 articles for “intrinsic clustering”
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Intrinsic Evaluation of Graph Embeddings: Assessing Clustering and Community Detection Performance
Abstract: This paper presents an intrinsic evaluation of some graph embedding techniques on clustering and community detection tasks. We analyze a diverse set of embedding methods, ranging from traditional techniques such as Laplacian eigenmaps to more recent approaches like graph autoencoders, high-order proximity preserved embedding (HOPE), and graph attention network (GAT), using two widely studied datasets, Cora and CiteSeer. Our evaluation relies on two main metrics: Silhouette score with respect to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 40–48 Read article
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Fractional Riemannian Fuzzy C-Means with Time-Series Regularization for Economic Manifold Forecasting
Abstract: A fractional Riemannian fuzzy c-means framework is proposed for uncertain economic forecasting on non-Euclidean data domains. Observations are represented on a Riemannian manifold, cluster centres are intrinsic prototypes, and a latent fuzzy regime signal is regularised by both autoregressive and fractional-memory penalties. The resulting objective couples geometric clustering with time-series consistency, thereby discouraging partitions that are locally plausible but temporally incoherent. Closed-form membership updates, exponential-map centre updates, normal equations for …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 49–55 Read article
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Polypropylene Fibres in Cementitious Composites: A Critical Review of Polymer Structure, Processing, Interfacial Behaviour and Performance
Abstract: Polypropylene (PP) fibres are widely used as secondary reinforcement in cementitious composites, yet their performance is governed as much by polymer structure and interfacial chemistry as by dosage. This review synthesises 50 primary sources (2003-2025, concentrated post-2015) to examine how PP molecular structure, fibre-manufacturing history, morphology, surface properties and environmental ageing govern fibre-matrix interaction and multiscale composite performance. Isotacticity, molecular weight, crystallinity and drawing ratio are shown to set the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Material-Level Degradation of Magnetorheological Fluids Under Long-Term Cyclic Shear
Abstract: The long-term functional stability of magnetorheological fluids (MRF) remains a key limitation for their reliable use in adaptive systems and continuously operated magnetorheological devices. In this study, the intrinsic evolution of rheological properties in a commercial MRF (MRC-C1L) is systematically examined under prolonged cyclic loading, with the aim of isolating material-level degradation mechanisms independent of device-related effects. The fluid was subjected to 120,000 low-strain oscillatory shear cycles under a constant …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 101–112 Read article
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Nanostructured Cr-WS2 Solid Lubricant Coating for Space Applications
Abstract: Abstract Tungsten disulphide (WS2) is one of the widely used intrinsic low friction materials, which is commonly used in the form of coating. WS2 offers very low coefficient of friction only in non humid conditions. Presence of humidity destroys this property and restricts its utility. Modifying the structure of WS2 by adding certain metals helps in overcoming this limitation and in addition improves the mechanical properties. Further, deposition technique and …
Published in Journal of Instrumentation Technology & Innovations · Vol. 9, Issue 1, 2019 · pp. 12–18 Read article