Results 41 to 50 of about 3,381,889 (354)
The intermittent behavior and hierarchical clustering of the cosmic mass field [PDF]
, 2001 The hierarchical clustering model of the cosmic mass field is examined in the context of intermittency. We show that the mass field satisfying the correlation hierarchy $\xi_n\simeq Q_n(\xi_2)^{n-1}$ is intermittent if $\kappa < d$, where $d$ is the ...
Batchelor G. K. +9 more
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Bioengineering, 2022 Heart failure with preserved ejection (HFpEF) is a heterogenous condition affecting nearly half of all patients with heart failure (HF). Artificial intelligence methodologies can be useful to identify patient subclassifications with important clinical ...
Hirmand Nouraei +2 more
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RECURSIVE HIERARCHICAL CLUSTERING FOR HYPERSPECTRAL IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Partition based clustering techniques are widely used in data mining and also to analyze hyperspectral images. Unsupervised clustering only depends on data, without any external knowledge.
S. May
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Neutrosophic Hierarchical Clustering Algoritms [PDF]
Neutrosophic Sets and Systems, 2014 Interval neutrosophic set (INS) is a generalization of interval valued intuitionistic fuzzy set (IVIFS), whose the membership and non-membership values of elements consist of fuzzy range, while single valued neutrosophic set (SVNS) is regarded as ...
Rıdvan Şahin
doaj
Convex clustering: an attractive alternative to hierarchical clustering.
PLoS Computational Biology, 2015 The primary goal in cluster analysis is to discover natural groupings of objects. The field of cluster analysis is crowded with diverse methods that make special assumptions about data and address different scientific aims.
Gary K Chen +3 more
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ESPRIT-Forest: Parallel clustering of massive amplicon sequence data in subquadratic time. [PDF]
PLoS Computational Biology, 2017 The rapid development of sequencing technology has led to an explosive accumulation of genomic sequence data. Clustering is often the first step to perform in sequence analysis, and hierarchical clustering is one of the most commonly used approaches for ...
Yunpeng Cai +6 more
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Likelihood Based Hierarchical Clustering [PDF]
IEEE Transactions on Signal Processing, 2004 This paper develops a new method for hierarchical clustering. Unlike other existing clustering schemes, our method is based on a generative, tree-structured model that represents relationships between the objects to be clustered, rather than directly modeling properties of objects themselves.
Castro, R.M., Coates, M., Nowak, R.
openaire +2 more sources
Hierarchical clustering in astronomy
Astronomy and Computing, 2022 12 pages, 8 figures, accepted by Astronomy and ...
Heng Yu, Xiaolan Hou
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Coordinated Robot Navigation via Hierarchical Clustering [PDF]
, 2015 We introduce the use of hierarchical clustering for relaxed, deterministic coordination and control of multiple robots. Traditionally an unsupervised learning method, hierarchical clustering offers a formalism for identifying and representing spatially ...
Arslan, Omur +2 more
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BarekengCluster analysis is a method of grouping data into certain groups based on similar characteristics. This research aims to group districts/cities in East Java Province in 2021 based on HIV cases using hierarchical cluster analysis (AGNES), non ...
Dwi Ayu Lusia +3 more
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