Results 11 to 20 of about 1,215,846 (318)
A hybrid clustering method based on the several diverse basic clustering and meta-clustering aggregation technique [PDF]
, 2022 In hybrid clustering, several basic clustering is first generated and then for the clustering aggregation, a function is used in order to create a final clustering that is similar to all the basic clustering as much as possible.
Saeidlou, Salman, Lu, Bei, Zhou, Bing
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Bridging the Molecular-Cellular Gap in Understanding Ion Channel Clustering
Frontiers in Pharmacology, 2020 The clustering of many voltage-dependent ion channel molecules at unique neuronal membrane sites such as axon initial segments, nodes of Ranvier, or the post-synaptic density, is an active process mediated by the interaction of ion channels with scaffold
Valerie Abigail Nirenberg, Ofer Yifrach
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Acoustic animal identification using unsupervised learning
Methods in Ecology and Evolution, 2023 Passive acoustic monitoring is usually presented as a complementary approach to monitoring wildlife communities and assessing ecosystem conditions. Automatic species detection methods support biodiversity monitoring and analysis by providing information ...
Maria J. Guerrero +4 more
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Genetics Selection Evolution, 2008 A procedure to measure connectedness among groups in large-sized genetic evaluations is presented. It consists of two steps: (a) computing coefficients of determination (CD) of comparisons among groups of animals; and (b) building sets of connected ...
Laloë Denis +2 more
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The Astrophysical Journal, 1985 The cluster correlation function xi sub c(r) is compared with the particle correlation function, xi(r) in cosmological N-body simulations with a wide range of initial conditions. The experiments include scale-free initial conditions, pancake models with a coherence length in the initial density field, and hybrid models.
J. Barnes +3 more
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Spherical k-Means Clustering [PDF]
, 2012 Clustering text documents is a fundamental task in modern data analysis, requiring approaches which perform well both in terms of solution quality and computational efficiency.
Kurt Hornik +7 more
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Clustering documents with active learning using Wikipedia [PDF]
, 2008 Wikipedia has been applied as a background knowledge base to various text mining problems, but very few attempts have been made to utilize it for document clustering. In this paper we propose to exploit the semantic knowledge in Wikipedia for clustering,
Ian H. Witten +7 more
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Machine Learning in Amyotrophic Lateral Sclerosis: Achievements, Pitfalls, and Future Directions
Frontiers in Neuroscience, 2019 Background: Amyotrophic Lateral Sclerosis (ALS) is a relentlessly progressive neurodegenerative condition with limited therapeutic options at present. Survival from symptom onset ranges from 3 to 5 years depending on genetic, demographic, and phenotypic ...
Vincent Grollemund +15 more
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Sequential Hierarchical Pattern Clustering [PDF]
, 2009 Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all pairwise distances between patterns must be computed in advance.
Niranjan, Mahesan +5 more
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Application of Multivariate-Rank-Based Techniques in Clustering of Big Data
Vikalpa, 2018 Executive Summary Very large or complex data sets, which are difficult to process or analyse using traditional data handling techniques, are usually referred to as big data.
Pritha Guha
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