Principal component based algorithm
Principal component analysis applied to continuation power flow
... The authors in [1] and [2] present approaches for real time dynamic vulnerability assessment for power systems and detection of islanding conditions. In [3] and [4], PCA is used to analyze the steady state operational ...
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Classification of Imaginary motor task from Electroencephalographic Signals: A Comparison of Feature Selection Methods and Classification Algorithms
... methods based on Principal Component Analysis and Sequential Forward Selection are implemented and compared as methods for a compact representa- tion of the information available in the EEG ...winner ...
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Robust Principal Component Analysis Based On Trimming Around Affine Subspaces
... Principal Component Analysis (PCA) is a technique for reducing dimen- sionality in multivariate data ...trimming based approach, where a proportion α of the observations is dis- carded, and the best ...
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K-means algorithms for functional data
... K-means algorithm in ...use principal component scores to reduce the ...K-means algorithm in a fi nite- dimensional ...strategy based on spectral methods is ...
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Minimal Decision Rules Based on the A Priori Algorithm
... proposal, Principal Component Analysis (PCA) and Bayesian inference are integrated with rough sets for data mining applied to breast cancer ...clusters based on the Apriori algorithm is ...
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Classification of Fruits Proximate and Mineral Content: Principal Component, Cluster, Meta‑Analyses
... Fruits from Nigeria are classified by principal component analyses (PCAs) of proximates and minerals, and plants cluster analyses (CAs), which agree. Samples group into three classes. Compositional PCA and ...
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Principal and independent component analysis applied to noise reduction in electrocardiographic signals
... En particular cuando se trabaja con la matriz de correlación, el valor medio de los componentes es 1, y esta regla lleva a seleccionar los valores propios mayores que la unidad. Sin embargo, una variable que sea ...
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Quantum walk based algorithm on scale free networks
... The use of IBM’s platform has proved useful to scientists and researchers for the de- velopment of quantum algorithms in different areas. In [13], Cervera explores the use of IBM’s platform, in quantum physics, for the ...
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Embedded filter bank-based algorithm for ECG compression
... In this work, two ECG compression schemes are presented using two types of filter banks to decompose the incoming signal: wavelet packets (WP) and nearly-perfect reconstruction cosine m[r] ...
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Classification of Food Spices by Proximate Content: Principal Component, Cluster, Meta-Analyses
... Earlier publications in Nereis classified yams [12] and fruits [13] by principal component (PCA), cluster (CA) and meta-analyses. The main aim of the present report is to develop code learning ...
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A new DSATUR-based algorithm for exact vertex coloring
... p(v) refers to the chromatic degree of a vértex (alias its saturation degree), the number of adjacent vértices which have been assigned different colors. Compared with other related pr[r] ...
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Image Segmentation Using Ant System-based Clustering Algorithm
... The novel Ant System-based Clustering Algorithm (ASCA) proposed in this paper was inspired by the foraging behaviour of ant colonies in nature. When ants find a food source, they leave[r] ...
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A Framework for Automated and Composable Testing of Component Based Services
... recommendations based on their preferences and ...example based on collaborative filtering techniques, that in turn can consume third party services to perform computational expensive operations such as ...
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Component-based tool for verifying applications using object-oriented patterns
... Applying design patterns is considered a helpful technique for designing software systems. Patterns description, however, results not sufficiently precise providing a weak understanding and making it difficult to be ...
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Analysis and optimization of composite stringers
... Finally, in Chapter 4 a method to design a damage tolerance optimization is developed. A simplification of the virtual test presented in Chapter 3 is designed to reduce the computational time without a important loss of ...
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DASH Adaptation Algorithm Based on Adaptive Forgetting Factor Estimation
... The next four subsections present the results for each bandwidth profile in the form of a Cumulative Distribution Function (CDF) for the video bitrate selection and the buffer level o[r] ...
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Multidimensional catalogs for systematic exploration of component-based design spaces
... Architects may reason about the overall solution properties using architectural policies, and later refine them (perhaps from existing policy catalogs) into ar- tifacts and concepts that serve as inputs to software ...
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On Microstructure-Based Mechanical Behaviour of a Ductile Iron Component
... This paper presents modelling and simulation of local microstructure-based mechanical behaviour. The mechanical behaviour can be shown as stress-strain curves at different locations of the cast iron ...
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Wine science in the metabolomics era
... approaches used in wine metabolomics studies are principal component analysis PCA.. is based on dimension reduction and is often used as a preprocessing step prior to the.[r] ...
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Issues for assessing component-based systems
... which component assessments and CBS assessments differ: the perspective, which considers organisations capable of deploying trusted components for use within a CBS or organisations capable of developing trusted ...
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