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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Ensemble clustering via heuristic optimisation [PDF]
, 2010 This thesis was submitted for the degree of Doctor of Philosophy and was awarded by Brunel UniversityTraditional clustering algorithms have different criteria and biases, and there is no single algorithm that can be the best solution for a wide range of ...
Li, Jian
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A method for clustering rock discontinuities with multiple properties based on an improved netting algorithm [PDF]
, 2022 Clustering analysis is fundamental for determining dominant discontinuity properties in rock engineering. This study proposes an improved netting algorithm for identifying discontinuity sets based on multiple discontinuity properties.
Hou, Qinkuan
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Sampling a Littoral Fish Assemblage: Comparison of Small-Mesh Fyke Netting and Boat Electrofishing [PDF]
, 2007 We compared small-mesh (4-mm) fyke netting and boat electrofishing for sampling a littoral fish assemblage in Muskegon Lake, Michigan. We hypothesized that fyke netting selects for small-bodied fishes and electrofishing selects for large-bodied fishes ...
Uzarski, Donald G. +8 more
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Techniques for clustering gene expression data [PDF]
, 2008 Many clustering techniques have been proposed for the analysis of gene expression data obtained from microarray experiments. However, choice of suitable method(s) for a given experimental dataset is not straightforward. Common approaches do not translate
Kerr, Gráinne +7 more
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Development of Fungal Applications on Netting Substrates for Malaria Vector Control [PDF]
, 2011 Mosquito resistance to chemical insecticides is considered a serious threat for the sustainable use of contemporary malaria vector control methods.
Thomas, Matthew B. +7 more
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Clustering analysis of railway driving missions with niching [PDF]
, 2012 A wide number of applications requires classifying or grouping data into a set of categories or clusters. Most popular clustering techniques to achieve this objective are K-means clustering and hierarchical clustering.
Jaafar, Amine +2 more
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A survey of kernel and spectral methods for clustering [PDF]
, 2007 Clustering algorithms are a useful tool to explore data structures and have been employed in many disciplines. The focus of this paper is the partitioning clustering problem with a special interest in two recent approaches: kernel and spectral methods ...
Masulli, F. +11 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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Autonomous clustering using rough set theory [PDF]
, 2008 This paper proposes a clustering technique that minimises the need for subjective human intervention and is based on elements of rough set theory. The proposed algorithm is unified in its approach to clustering and makes use of both local and global ...
Chandra Kambhampati +3 more
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