Results 271 to 280 of about 1,758,281 (314)
Some of the next articles are maybe not open access.
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
openaire +2 more sources
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
openaire +2 more sources
Cluster headache and cluster variants
Current Treatment Options in Neurology, 2003Patients must be cognizant of the time course of the cluster headache periods to optimally tailor their therapy. Steroids provide the fastest onset of prophylactic effect. Once steroids are initiated, it remains difficult to wean patients off of them, and that is why it is always recommended to associate another prophylactic agent from the onset with ...
openaire +2 more sources
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
openaire +1 more source
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
openaire +2 more sources
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
openaire +2 more sources
Online Clustering with Variable Sized Clusters
Algorithmica, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
János Csirik +3 more
openaire +3 more sources
1978
When one is lecturing in a centre for interdisciplinary research, it is, I imagine, appropriate to start by emphasizing the interdisciplinary character of the topic one is going to discuss. In my case this does not present any difficulty. Clustering is a pictorial term for positive correlations in an ensemble of randomly distributed bodies or events ...
openaire +1 more source
When one is lecturing in a centre for interdisciplinary research, it is, I imagine, appropriate to start by emphasizing the interdisciplinary character of the topic one is going to discuss. In my case this does not present any difficulty. Clustering is a pictorial term for positive correlations in an ensemble of randomly distributed bodies or events ...
openaire +1 more source
On the Number of Clusters in Cluster Analysis
1998Clustering is a fundamental tool for analyzing the structure of feature spaces. It has been applied to various fields such as pattern recognition, information retrieval and so on. Many studies have been done on this problem and various kinds of clustering methods have been proposed and compared (e.g., [1]).
openaire +1 more source
Joint Cluster Based Co-clustering for Clustering Ensembles
2006This paper introduces a new method for solving clustering ensembles, that is, combining multiple clusterings over a common dataset into a final better one. The ensemble is reduced to a graph that simultaneously models as vertices the original clusters in the ensemble and the joint clusters derived from them.
Tianming Hu +3 more
openaire +2 more sources