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Maximum Clusterability Divisive Clustering
2015 IEEE Symposium Series on Computational Intelligence, 2015The notion of cluster ability is often used to determine how strong the cluster structure within a set of data is, as well as to assess the quality of a clustering model. In multivariate applications, however, the cluster ability of a data set can be obscured by irrelevant or noisy features.
David P. Hofmeyr, Nicos G. Pavlidis
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2006
Abstract To probe the past effectively, we need to study galaxies. These are fossils from the past, because their properties have changed little since formation. Clusters of galaxies are relatively pristine collections of galaxies. Clusters have not changed much since birth, and contain any debris that galaxies may have ejected in their ...
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Abstract To probe the past effectively, we need to study galaxies. These are fossils from the past, because their properties have changed little since formation. Clusters of galaxies are relatively pristine collections of galaxies. Clusters have not changed much since birth, and contain any debris that galaxies may have ejected in their ...
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Reorganization of clusters in cluster-cluster-aggregation
AIP Conference Proceedings, 2000X-ray microscopy and scattering experiments give different experimental results when determining the fractal dimension of colloidal clusters. A two dimensional simulation model is presented to describe reorganization of clusters during the aggregation process. Considering this reorganization gives a rapidly increasing fractal dimension from d=1.53 to d=
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To Cluster or Not Cluster, That is the Question
The American Journal of Geriatric Psychiatry, 2022Roy, Adams, Paul, Rosenberg
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Dynamic cluster-size distribution in cluster-cluster aggregation: Effects of cluster diffusivity
Physical Review B, 1985The dynamics of the diffusion-limited model of cluster-cluster aggregation is investigated in two and three dimensions by studying the temporal evolution of the cluster-size distribution ${n}_{s}$(t), which is the number of clusters of size s at time t.
, Meakin, , Vicsek, , Family
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A fuzzy clustering ensemble based on cluster clustering and iterative Fusion of base clusters
Applied Intelligence, 2019For obtaining the more robust, novel, stable, and consistent clustering result, clustering ensemble has been emerged. There are two approaches in clustering ensemble frameworks: (a) the approaches that focus on creation or preparation of a suitable ensemble, called as ensemble creation approaches, and (b) the approaches that try to find a suitable ...
Musa Mojarad +3 more
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Clusters on Clusters:closo-Dodecaborate as a Ligand for Au55 Clusters
European Journal of Inorganic Chemistry, 1999The exchange of PPh3 in Au55(PPh3)12Cl6 by Na2[B12H11SH] using a phase-transfer reaction from CH2Cl2 to water needs 6 weeks for reaction, but finally results in the quantitative formation of Au55[(B12H11SH)Na2]12Cl6 (2). Cluster 2, which is of considerable stability in aqueous solution, has been characterized by 1H-NMR, 11B-NMR, and IR spectroscopy as ...
Schmid, Günter +3 more
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Online Clustering with Variable Sized Clusters
Algorithmica, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
János Csirik +3 more
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Correlation Clustering and Consensus Clustering
2005The Correlation Clustering problem has been introduced recently [5] as a model for clustering data when a binary relationship between data points is known. More precisely, for each pair of points we have two scores measuring respectively the similarity and dissimilarity of the two points, and we would like to compute an optimal partition where the ...
Paola Bonizzoni +3 more
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Clustering with the Levy Walk: “Hunting” for Clusters
2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW), 2016The Levy Walk (or Levy flight) is a concept from Biomathematics to describe the hunting?behaviour of many predatory species. It is a very efficient way to find prey in a very short time frame. We now want to use this concept in a clustering?context to ? if you so will ? ?hunt? for clusters.
Benjamin Schelling, Claudia Plant
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