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principal component analysis
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Bibliographies
47
1
Recent applications of multivariate data analysis methods in the authentication of rice and the most analyzed parameters: A review
2
Intelligent color vision system for ripeness classification of oil palm fresh fruit bunch
3
River water quality and pollution sources in the Pearl River Delta, China
4
a taxonomic study on the genus hymenocrater fisch. & c. a. mey. (lamiaceae) in khorasan region
5
investigating the land cover changes in mazandaran province using landscape ecology’s metrics between 1984 - 2010
6
size of livestock agricultural operations
7
Relationships between respiratory and airway resistances and activity-related dyspnea in patients with chronic obstructive pulmonary disease
8
Effect of vedolizumab (anti-α4β7-integrin) therapy on histological healing and mucosal gene expression in patients with UC
9
A hybrid sensing approach for pure and adulterated honey classification
10
Decision Support System for Classification of Early Childhood Diseases Using Principal Component Analysis and K-Nearest Neighbors Classifier
11
Structural and binding insights into HIV-1 protease and P2-ligand interactions through molecular dynamics simulations, binding free energy and principal component analysis.
12
Application of principal component analysis-multivariate adaptive regression splines for the simultaneous spectrofluorimetric determination of dialkyltins in micellar media.
13
Diagnosis of a battery energy storage system based on principal component analysis
14
Differentiating Inorganics in Biochars Produced at Commercial Scale Using Principal Component Analysis.
15
Fluoride-contaminated groundwater of Birbhum district, West Bengal, India: Interpretation of drinking and irrigation suitability and major geochemical processes using principal component analysis.
16
Crude oil price forecasting based on hybridizing wavelet multiple linear regression model, particle swarm optimization techniques, and principal component analysis.
17
Impact of data bin size on the classification of diesel fuels using comprehensive two-dimensional gas chromatography with principal component analysis
18
Multiresonance Chipless RFID Sensor Tag for Metal Defect Characterization Using Principal Component Analysis
19
Instance selection and feature extraction using cuttlefish optimization algorithm and principal component analysis using decision tree
20
Antibacterial evaluation of plants extracts against ampicillin-resistant Escherichia coli (E. coli) by microcalorimetry and principal component analysis
21
LC-MS analysis combined with principal component analysis and soft independent modelling by class analogy for a better detection of changes in N-glycosylation profiles of therapeutic glycoproteins.
22
Using Improved Principal Component Analysis to Explore Construction Accident Situations from the Multi-Dimensional Perspective: A Chinese Study.
23
Nuclear accident source term estimation using Kernel Principal Component Analysis, Particle Swarm Optimization, and Backpropagation Neural Networks
24
Characterization of the lipid profile from coconut (Cocos nucifera L.) oil of different varieties by electrospray ionization mass spectrometry associated with principal component analysis and independent component analysis
25
Gap-filling approaches for eddy covariance methane fluxes: A comparison of three machine learning algorithms and a traditional method with principal component analysis.
26
Using compositional principal component analysis to describe children's gut microbiota in relation to diet and body composition.
27
Application of principal component analysis for the evaluation of the chemical constituents of Mimosa tenuiflora methanolic extract by DLLME/GC–MS
28
Effects of a cognitive dual task on variability and local dynamic stability in sustained repetitive arm movements using principal component analysis: a pilot study.
29
INTRODUCTION A National park is an area set aside by a national government for the preservation of the natural environment. The World Conservation Union defines a National park as a natural area designated to protect the ecological integrity of one or more ecosystems for present and future generations. In Pakistan, the earlier ecological studies were generally observational. The earlier studies, generally appeared in 1950’s, were confined to visual description of the vegetation, and no attempts were made to recognize community types and to correlate them with the relevant environmental factors. On the contrary, advanced multivariate techniques of ordination and cluster analysis had been routinely used in Europe and other parts of the world. There are numerous ordination methods accessible in plant bionetwork, some of which have been extensively used, e.g. Principal Component Analysis (PCA) and Detrended Correspondence Analysis (DCA) (Hill & Gauch, 1980), whereas some others only sporadically used (Zhang, 2004). A series of studies using different ordination techniques were carried out in Pakistan by Ahmad et al., 2009; Ahmad, 2009; Jabeen & Ahmad, 2009; Pirzada et al., 2009; Ahmad et al., 2010a, b; Ahmad, 2011. In Canonical Correspondence Analysis (CCA) the floristic statistics and the environmental variables can be assimilated within the ordination (Kashian et al., 2003). Within the Ayubia National Park, the study area was the moist temperate forest in Rawalpindi, NE-Pakistan (Fig. 1), showing a high diversity of susceptible plant and animal species. The geographical location of the park is 330° 52' N and 730° 90' E (Farooque, 2002). The aim of this research was to quantify the vegetation in Ayubia National Park using ordination techniques and to determine the soilvegetation relationship to provide basic awareness for preservation of nationally significant native flora. A list of plant species present in the study area is provided in Table 1. Apart from their importance from ecological point of view few species are used as medicinal herbs by local inhabitants. Observed biodiversity of occuring species indicate that this area can be used for conservation of native flora. Exploring the vegetation dynamics and community assemblage in Ayubia National Park, Rawalpindi, Pakistan, using CCA
30
Preparation and evaluation of agglomerated crystals by crystallo-co-agglomeration: an integrated approach of principal component analysis and Box-Behnken experimental design.
31
Efficient estimation of load-free left ventricular geometry and passive myocardial properties using principal component analysis.
32
Formulation of synthetic bacterial consortia and their evaluation by principal component analysis for lignocellulose rich biomass degradation
33
Temporal evolution of groundwater composition in an alluvial aquifer (Pisuerga River, Spain) by principal component analysis
34
optimization of multi-response dynamic systems using principal component analysis (pca)-based utility theory approach
35
bidimensional and multidimensional principal component analysis in long term atmospheric monitoring
36
mapping quantitative trait loci underlying function-valued traits using functional principal component analysis and multi-trait mapping
37
air pollution and human development in europe: a new index using principal component analysis
38
asignación de primas en el seguro del automóvil utilizando el análisis en componentesprincipales funcionales = premium allocation in the car insurance by using functional principal component analysis.
39
lost-in-space star identification using planar triangle principal component analysis algorithm
40
cardiorespiratory coordination after training and detraining. a principal component analysis approach
41
a statistical texture model of the liver based on generalized n-dimensional principal component analysis (gnd-pca) and 3d shape normalization
42
análise dos componentes principais e métodos multicritério ordinais no estudo de organossolos e solos afins principal component analysis and ordinal multicriteria methods to study organosols and related soils
43
sludge dewatering process control using principal component analysis (pca) and partial least square (pls)
44
online update techniques for projection based robust principal component analysis
45
image denoising algorithm combined with sgk dictionary learning and principal component analysis noise estimation
46
centered log-ratio (clr) transformation and robust principal component analysis of long-term ndvi data reveal vegetation activity linked to climate processes
47
FLOOD VULNERABILITY ASSESSMENT IN MARINDUQUE, PHILIPPINES USING FUZZY LOGIC AND PRINCIPAL COMPONENT ANALYSIS