Search results for "Principal Component Analysis"

showing 10 items of 486 documents

Assessing the territorial influence of an Iberian worship site. The chemical characterisation of the terracotta from the Iron Age sanctuary of La Ser…

2017

This paper presents the study of the prestigious terracotta votive figurines from the Iberian Iron Age sanctuary of La Serreta (Alicante province, Spain) composed of 174 items. Portable X-ray fluorescence (PXRF) was used to identify elemental markers that permit us to observe the differences between local and non-local terracotta figurines and furthermore to evaluate the geographical influence of the La Serreta sanctuary using Principal Component Analysis (PCA). The Partial Least Squares Discriminant Analysis (PLSDA) statistical method was also used to classify the figurines of uncertain geographical origin. The resulting groups were related to typological and stylistic groups of figurines …

TerracottaAlicanteArcheology060102 archaeologyTerritorial influence010308 nuclear & particles physicsmedia_common.quotation_subjectLa Serreta06 humanities and the artsLinear discriminant analysisWorship01 natural sciencesArchaeologyArqueologíaGeographyIron Agevisual_art0103 physical sciencesPartial least squares regressionPrincipal component analysisvisual_art.visual_art_medium0601 history and archaeologyIberian Iron Age sanctuaryTerracottamedia_common
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Monitoring fire-affected areas using Thematic Mapper data

2001

In this paper three methods for updating inventories of burned areas have been presented and examined. They include Multitemporal Principal Component Analysis (MPCA), Change Vector Analysis (CVA) a...

Thematic MapperPrincipal component analysisGeneral Earth and Planetary SciencesEnvironmental scienceChange vector analysisCartographyRemote sensingInternational Journal of Remote Sensing
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MuLiMs-MCoMPAs: A Novel Multiplatform Framework to Compute Tensor Algebra-Based Three-Dimensional Protein Descriptors

2019

This report introduces the MuLiMs-MCoMPAs software (acronym for Multi-Linear Maps based on N-Metric and Contact Matrices of 3D Protein and Amino-acid weightings), designed to compute tensor-based 3D protein structural descriptors by applying two- and three-linear algebraic forms. Moreover, these descriptors contemplate generalizing components such as novel 3D protein structural representations, (dis)similarity metrics, and multimetrics to extract geometrical related information between two and three amino acids, weighting schemes based on amino acid properties, matrix normalization procedures that consider simple-stochastic and mutual probability transformations, topological and geometrical…

Theoretical computer science010304 chemical physicsbusiness.industryGeneral Chemical EngineeringComputationGeneral ChemistryTensor algebraLibrary and Information Sciences01 natural sciences0104 chemical sciencesComputer Science ApplicationsWeighting010404 medicinal & biomolecular chemistryMatrix (mathematics)Software0103 physical sciencesPrincipal component analysisData pre-processingUser interfacebusinessJournal of Chemical Information and Modeling
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A novel dynamic multi-model relevance feedback procedure for content-based image retrieval

2016

This paper deals with the problem of image retrieval in large databases with a big semantic gap by a relevance feedback procedure. We present a novel algorithm for modelling the users's preferences in the content-based image retrieval system.The proposed algorithm considers the probability of an image belonging to the set of those sought by the user, and estimates the parameters of several local logistic regression models whose inputs are the low-level image features. A Principal Component Analysis method is applied to the original vector to reduce its high dimensionality. The relevance probabilities predicted by these local models are combined by means of a weighted average. These weights …

Thesaurus (information retrieval)Computer scienceCognitive NeuroscienceRelevance feedback020207 software engineering02 engineering and technologycomputer.software_genreContent-based image retrievalComputer Science ApplicationsSet (abstract data type)Search engineArtificial IntelligenceFeature (computer vision)Principal component analysis0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingRelevance (information retrieval)Data miningcomputerImage retrievalSemantic gapNeurocomputing
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A rapid method for the differentiation of yeast cells grown under carbon and nitrogen-limited conditions by means of partial least squares discrimina…

2012

This paper shows the ease of application and usefulness of mid-IR measurements for the investigation of orthogonal cell states on the example of the analysis of Pichia pastoris cells. A rapid method for the discrimination of entire yeast cells grown under carbon and nitrogen-limited conditions based on the direct acquisition of mid-IR spectra and partial least squares discriminant analysis (PLS-DA) is described. The obtained PLS-DA model was extensively validated employing two different validation strategies: (i) statistical validation employing a method based on permutation testing and (ii) external validation splitting the available data into two independent sub-sets. The Variable Importa…

Time FactorsChemistry(all)Spectrophotometry InfraredNitrogenAnalytical chemistryInfrared spectroscopyPichiaArticleAnalytical ChemistryPichia pastorisPichia pastorisInfrared (IR) micro-spectroscopyPartial least squares regressionProcess controlPartial least squares-discriminant analysis (PLS-DA)Least-Squares AnalysisProjection (set theory)Cell ProliferationPrincipal Component AnalysisbiologyChemistryDiscriminant AnalysisReproducibility of ResultsLinear discriminant analysisbiology.organism_classificationDouble cross validation (2CV)YeastCarbonYeastCulture MediaPermutation testingPrincipal component analysisFeasibility StudiesBiological systemTalanta
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Time Trends in the Joint Distributions of Income and Age

2001

We propose a method of analyzing time changes of joint income-age densities. Change is decomposed into time invariant components which act on the densities as deformations with time varying strength. The functional form of these components is estimated non parametrically from cross sectional data. The method is applied to analyze British household data on income and age for the years 1968–95. It is learned that for the young and middle aged there is a trend towards increasing inequality, while during the early eighties there seems to occur a reversal in the evolution of the income distribution for the old.

Time changesFunctional principal component analysisCross-sectional dataInequalityIncome distributionJoint probability distributionTime trendsmedia_common.quotation_subjectEconometricsJoint (geology)Mathematicsmedia_common
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Suspended particulate matter fluxes along with their associated metals, organic matter and carbonates in a coastal Mediterranean area affected by min…

2016

International audience; A study of suspended particulate matter (SPM) fluxes along with their associated metals, organic matter and carbonates, was conducted off the Mejerda River outlet in May 2011 and in March and July 2012 at depths of 10, 20 and 40 m using sediment traps. SPM fluxes are more significant near the Mejerda outlet, especially in winter, but dissipate further offshore. Normalization reveals that the Mejerda is a major source of Pb, Zn, Cd, Cu, Ni, and Co, all of which are the result of human activities. In contrast, Fe, Mn and N are of authigenic origin. The enrichment factor shows that Pb, Zn and especially Cd are the most highly polluting metals off the Mejerda outlet. Thi…

Tunisia010504 meteorology & atmospheric sciencesDrainage basinCarbonates010501 environmental sciencesAquatic ScienceOceanography01 natural sciencesMining[ SDE ] Environmental SciencesRiversMetals HeavyOrganic matter14. Life underwaterMejerda RiverHumic Substances0105 earth and related environmental scienceschemistry.chemical_classificationgeographyPrincipal Component Analysisgeography.geographical_feature_categoryMediterranean RegionCoastal pollutionHeavy metalsAuthigenicSuspended particulate matterParticulatesPollutionEnrichment factor6. Clean waterchemistryHeavy metals13. Climate actionMetalsEnvironmental chemistry[SDE]Environmental SciencesEnvironmental scienceMediterranean areaSubmarine pipelineParticulate MatterSeasonsEnrichment factorWater Pollutants ChemicalEnvironmental Monitoring
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Distribution patterns of particulate trace metals in the water column and nepheloid layer of the Gulf of Riga.

2004

The dynamics (fate) of trace metals in suspended particulate matter within the Gulf of Riga has not yet been adequately addressed in the scientific literature. Therefore, during a two year period (2001-2002) samples of suspended particulate matter and surface sediments for trace metal analysis were collected in the Gulf of Riga and the Daugava river, and these data were combined with background information from the national marine monitoring program in Latvia. This paper presents a descriptive study of solid phase trace metals (aluminium, iron, cadmium, chromium, copper, manganese, nickel, lead and zinc) dynamics and their spatial distribution within the Gulf of Riga based on Principal Comp…

Water massGeologic SedimentsEnvironmental EngineeringTime FactorsNitrogenHealth Toxicology and MutagenesisNepheloid layerDisastersWater columnRiversEnvironmental ChemistryCluster AnalysisTrace metalSeawaterPrincipal Component AnalysisPublic Health Environmental and Occupational HealthSedimentGeneral MedicineGeneral ChemistrySedimentationParticulatesPollutionMonitoring programCarbonTrace ElementsOxygenOceanographyEnvironmental chemistryEnvironmental scienceSeasonsWater Pollutants ChemicalEnvironmental MonitoringChemosphere
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Application of daily rainfall principal component analysis to the assessment of the rainy season characteristics in Senegal

2003

The interannual variability of the onset and cessation dates of the rainy season (RS) in Senegal is analyzed over the 43 yr period 1950-1992, using daily rainfall data for 34 stations. The use of principal component analysis, based on rainfall only, is explored to identify aggregate, regional indexes for the onset and cessation of the rains. The minimum and maximum values of the cumula- tive scores of principal component 1, for each year, are used to locate the onset and cessation dates, respectively. Very distinct spatial rainfall patterns are found before and after the onset/cessation dates. Mean dates compare favorably with those based on other definitions, though our method is not meant…

Wet seasonAtmospheric ScienceSeries (stratigraphy)GeographyClimatologyPrincipal component analysisDelayed onsetSpatial ecologyEnvironmental ChemistryGeneral Environmental ScienceClimate Research
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Elemental fingerprint of wines from the protected designation of origin Valencia

2009

Abstract Inductively coupled plasma optical emission (ICP-OES), in combination with different chemometric approaches, has been used to verify the origin of different red wine samples from Utiel-Requena, Jumilla, Yecla and Valencia protected designation of origin (PDO). The ability of multivariate analysis methods, such as hierarchical cluster analysis (HCA), principal component analysis (PCA), classification and regression trees (CARTs) and discriminant analysis (DA), to achieve wine classification from their elemental contents has been investigated. The calculations were performed using 38 variables (contents of Al, Ba, Be, Ca, Cd, Ce, Co, Cr, Cu, Dy, Er, Eu, Fe, Gd, Ho, K, La, Li, Lu, Mg,…

WinebiologyChemistryAnalytical chemistrychemistry.chemical_elementBariumGeneral Medicinebiology.organism_classificationAnalytical ChemistryFingerprintInductively coupled plasma atomic emission spectroscopyPrincipal component analysisLanthanumInductively coupled plasmaValenciaFood ScienceFood Chemistry
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