model-based cluster analysis
Model based cluster analysis of microarray gene expression data
... for i = 1, ... ,1176. The numerator of y i is the difference of average gene-expression levels under the two conditions (infected versus control), whereas the denominator is the sample standard error of the numerator and ...
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A single currency for Asia? Evaluation and comparison using hierarchical and model-based cluster analysis
... a model-based clustering approach, China and India appear to have joined a group of more convergent countries, which is undoubtedly more signi…cant than the loss of some small countries from this ...
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Performance Analysis of 802.11 and 802.11p in Cluster Based Simple Highway Model
... An IEEE working group has developed a new PHY/MAC amendment of the 802.11 standard, which is designed for VANET. The wireless access in Vehicular Environment (WAVE) referred as IEEE 802.11p is suitable for High speed ...
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Cluster based Channel Model and Performance Analysis for MIMO Satellite Formation Flying Communication Systems
... novel cluster based MIMO channel model is proposed in this paper for characterization and performance analysis of satellite formation flying communication ...The model is based ...
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Model based cluster and discriminant analysis in Brazilian medical school academic disciplines: A nationwide study using the data available on websites
... The data obtained through these websites at a particular point in time may not reflect the current situation, as the curricula of education institutions are constantly evolving (Rosenbaum and Axelson 2013). The last ...
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Omnipresence of Cluster Analysis for Optimal Solutions
... informational-theoretic model for graph clustering [7]. The entropy-based clustering technique determines locally optimal groups by growing an arbitrary seed in a way that limits graph ...
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Behavioural Analysis with Movement Cluster Model for Concurrent Actions
... Behavioural analysis by the SMCM allows modularity and flexibility, and abstraction from the input data, while maintaining a probabilistic modelling ...SMCM based analysis provides detailed action ...
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Cluster Analysis of Data Points using Partitioning and Probabilistic Model-based Algorithms
... only cluster numeric ...a cluster, they can dramatically distort the mean value of the cluster ...discriminant analysis approach to adaptively select the most discriminating ...
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Identification of Ti- anomaly in stream sediment geochemistry using of stepwise factor analysis and multifractal model in Delijan district, Iran
... Descriptive statistical studies conducted for stream sediments of the Delijan area show that most of elements have an asymmetric distribution. After ratio transformation and standardization, all elements achieve normal ...
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One money with several cycles? Evaluation of European business cycles using cluster analysis. ACES Cases No. 2009.3
... Area-Wide Model database and extends to ...for cluster analysis for each of a total sample of 29 countries, giving a data set of 145 ...to analysis of the entire dataset, because availability ...
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Title: Optimization of Femtocell Network Using Estimation Techniques
... femtocell based clustered communication optimization is defined using three layered ...under cluster formation approach is defined. The cluster formation is here performed based on the node ...
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Estimation and Selection in Regression Clustering
... general cluster analysis methods, then focus on regression clustering which uses the model-based fixed partition method and also takes into account the dependence between the response and ...
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Cluster-based analysis of multi-model climate ensembles
... maximum cluster radius, thereby potentially dividing natural groups of ...each cluster is ...sity based Clustering (DDC) algorithm (Hyde and Angelov, ...DDC-generated cluster are more similar ...
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Dubbing Modernization: The United States, France, and the Politics of Development in the Ivory Coast, 1946 1968
... of cluster analysis are examined for their accuracy in clustering on both real CPILS dataset and simulated ...hierarchical cluster analysis (Ward's method), model-based ...
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Evaluation of Demographic and Socio-economic Factors of Mortality in the South Moravian Region (Czech Republic)
... Cluster 1 is typified with the lowest cause-specific mortality, however, at the same time with the worst demographic and SE performance. This mainly applies to the districts of BR, HOD, ZNM in the border area of ...
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Relating climate change signals and physiographic catchment properties to clustered hydrological response types
... similarity that is measured by Euclidean distances. More pre- cisely, the sum of the squared distances among the members of a cluster, divided by the number of the members, is to be minimized (see e.g. Borcard et ...
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Applications of Cluster Analysis Method in Surface Water Quality Assessment: A Case Study in Balihe Lake, China
... each cluster have similar features and pollution ...especially based on newer and more reasonable methods to make the water environmental protection work more targeted ...
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Buffer clustering policy for sequential production lines with deterministic processing times Pages 555-572 Download PDF
... programming model consisting of binary and integer variables and a tabu search type algorithm to determine the availability of alternative locations for a work-cell and the use of alternative routes to move part ...
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A Research on Decentralized Clustering Algorithms for Dense Wireless Sensor Networks
... RTS/CTS based collision avoidance mechanisms. In this algorithm, once cluster formations take place it remains same throughout the network lifetime ...admits cluster members according to the ...
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UWB Channel Modeling Improvement in Indoor Line of Sight (LOS) Environments
... S-V model has several problems. First, this model is not accurate for LOS and indoor ...like cluster arrival rate and inter cluster exponential decay constant is difficult for modeling ...
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