Results 291 to 300 of about 2,744,930 (320)

Accounting for clustering for self-reported outcomes in the design and analysis of population-based surveys: A case study of estimation of prevalence of epilepsy in Nairobi, Kenya. [PDF]

Front Res Metr Anal
Mwanga DM, Kipchirchir IC, Muhua GO, Newton CR, Kadengye DT.   +4 more
europepmc   +1 more source

Time-series clustering analysis for treatment pattern of lasmiditan for 2 years from the initial prescription. [PDF]

Ther Adv Neurol Disord
Katsuki M, Yamada Y, Ichihara T, Matsumori Y.   +3 more
europepmc   +1 more source

The DBCV index is more informative than DCSI, CDbw, and VIASCKDE indices for unsupervised clustering internal assessment of concave-shaped and density-based clusters. [PDF]

PeerJ Comput Sci
Chicco D, Sabino G, Oneto L, Jurman G.
europepmc   +1 more source

SMCFO: a novel cuttlefish optimization algorithm enhanced by simplex method for data clustering. [PDF]

Front Artif Intell
K K, G HG.
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Spatiotemporal analysis and risk prediction of foodborne diseases based on meteorological risk factors: a case study of Wuxi city, China. [PDF]

BMC Infect Dis
Qin K, Dai X, Wu L, Gao M.
europepmc   +1 more source

A two-phase hybrid clustering framework exploring transitional activities in HAR. [PDF]

Discov Artif Intell
Woo M, Harby AA, Zulkernine F, Abdulsalam HM.   +3 more
europepmc   +1 more source

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Clustering of clusters

Pattern Recognition, 1992
Abstract An algorithm for the clustering of existing clusters is introduced in this paper. The algorithm was adopted from fuzzy-c-mean and modifications made to take into account the extra information, i.e. some data samples already form clusters. Partition coefficients, together with some other criteria, are used for testing cluster validity.
Cheung, YS, Chan, KP
openaire   +4 more sources

Reorganization of clusters in cluster-cluster-aggregation

AIP Conference Proceedings, 2000
X-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=
O. Vormoor, J. Thieme
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Testing of clustering [PDF]

Proceedings 41st Annual Symposium on Foundations of Computer Science, 2002
Summary: We study the problem of clustering with respect to the diameter and the radius costs. Here we approach the problem of clustering from within the framework of property testing. In property testing, the goal is to determine whether a given object has a particular property or whether it should be modified significantly so that it obtains the ...
Michal Parnas, Noga Alon, Dana Ron, Seannie Dar   +3 more
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Clustering and Clusters [PDF]

, 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 ...
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