نتایج جستجو برای: hierarchical cluster analysis hca
تعداد نتایج: 2989843 فیلتر نتایج به سال:
Geoeffective solar events, especially the coronal mass ejection (CME) and high-speed wind (HSSW) will induce geomagnetic storm upon its arrival to Earth. The events could trigger an earthquake occurred during arrival. In this study, focus is on proxy of geoeffective which Ap index data shallow worldwide earthquakes. main objective was investigate impact storms occurrences earthquakes from 1994 ...
BACKGROUND Hierarchical cluster analysis (HCA) is a widely used classificatory technique in many areas of scientific knowledge. Applications usually yield a dendrogram from an HCA run over a given data set, using a grouping algorithm and a similarity measure. However, even when such parameters are fixed, ties in proximity (i.e. two equidistant clusters from a third one) may produce several diff...
Background To determine whether symptom clusters in patients with bone metastases vary when extracted using three different statistical methods. To compare the temporal composition of symptom clusters in responders versus non-responders to palliative radiation treatment. Methods A previous dataset of 518 bone metastases patients who completed the Edmonton Symptom Assessment System (ESAS) was ...
This chapter presents a multivariate analysis method which is developed in two steps using combination of Hierarchical cluster (HCA) and Factorial Correspondence Analysis (AFC). To explain describe the method, we use an application example on survey dataset from young students Thessaloniki trying to investigate their behavioral profiles terms political characteristics how these may be affected ...
OBJECTIVE The aim was to compare multimorbidity patterns identified with the two most commonly used methods: hierarchical cluster analysis (HCA) and exploratory factor analysis (EFA) in a large primary care database. Specific objectives were: (1) to determine whether choice of method affects the composition of these patterns and (2) to consider the potential application of each method in the cl...
As part of the University of Michigan Dioxin Exposure Study, soil samples were collected from 766 residential properties near the Tittabawassee River between Midland and Saginaw; near the Dow Chemical Facility in Midland; and, for comparison, in the other areas of Midland and Saginaw Counties and in Jackson and Calhoun Counties, all located in the state of Michigan, USA. A total of 2,081 soil s...
A high-performance liquid chromatographic (HPLC) method was established to analyze 36 Chaihu (Radix Bupleuri) samples collected from three species (Bupleurum chinense DC., B. scorzonerifolium Willd. and B. smithii Wolff.). Addition of trifluoroacetic acid into the mobile phase resulted in fingerprint chromatograms with stable baselines. There were thirty-two characteristic peaks in the standard...
Tóthová J., Sádecká J., Májek P. (2007): Total luminescence spectroscopy for differentiating between brandies and wine distillates. Czech J. Food Sci., 27: 425–432. In this study, the differentiation was investigated between brandy and wine distillate samples by fluorescence spectroscopy in combination with multivariate analysis. The samples corresponding to eight brandies from three producers ...
Volatile profiles yielded from gas chromatography-mass spectrometry (GC-MS) analysis provide abundant information not only for metabolism-related research, but also for chemotaxonomy. To study the chemotaxonomy of Mangshanyegan, its volatile profiles of fruit and leaf and those of 29 other genotypes of Citrus, Poncirus, and Fortunella were subjected to phylogenetic analyses. Results showed that...
This paper presents a methodology based on multivariate data analysis for characterizing potential source contributions of emerging contaminants (ECs) detected in 26 river water samples across multi-scape regions during dry and wet seasons. Based on this methodology, we unveil an approach toward potential source contributions of ECs, a concept we refer to as the "Pharmaco-signature." Explorator...
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