Results 261 to 270 of about 1,206,915 (318)
Ecology of Malaria Mortality: A Spatiotemporal Mapping Approach. [PDF]
Am J Biol AnthropolCooke A, Brickley MB.
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Machine Learning and Clustering Analysis of Class II and III Malocclusions. [PDF]
Clin Exp Dent ResPaddenberg-Schubert E +11 more
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An Optimized Clustering Routing Algorithm for Wireless Sensor Networks Based on Spotted Hyena and Improved Energy-Efficient Non-Uniform Clustering. [PDF]
Sensors (Basel)Jia S, Jia S, Shao W, Li F.
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EV-Planner: a machine learning approach to electric vehicle charging infrastructure planning. [PDF]
Front Artif IntellAnand B, Grama A.
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New algorithms for unsupervised cell clustering from scRNA-seq data. [PDF]
Bioinform AdvRobles M +11 more
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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
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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
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Science, 2007
The PDZ domain is a frequently occurring interaction domain in eukaryotic proteins that binds to the C termini of target proteins. PDZ domains have been thought to cluster into functional classes, each with distinct sequence binding preferences. Using a combination of experimental data and modeling, Stiffler et al .
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The PDZ domain is a frequently occurring interaction domain in eukaryotic proteins that binds to the C termini of target proteins. PDZ domains have been thought to cluster into functional classes, each with distinct sequence binding preferences. Using a combination of experimental data and modeling, Stiffler et al .
openaire +2 more sources