نتایج جستجو برای: hierarchical cluster analysis hca
تعداد نتایج: 2989843 فیلتر نتایج به سال:
Background The use of different statistical methods and inclusion criteria when deriving symptom clusters in cancer patients are contributing factors in cluster inconsistencies across studies. Primary objective was to extract symptom clusters in a subgroup of patients reporting non-zero Brief Pain Inventory (BPI) scores at baseline, and to compare clusters with those identified in the total pat...
Kefir is fermented milk with a slightly acidic taste obtained by incubating milk with kefir grains. These grains are white or lightly yellow gelatinous masses characterized by irregular forms, constituted by a complex mixture of lactococci, homofermentative and heterofermentative lactobacilli, yeasts and acetic acid bacteria living in a strong and specific symbiosis. This complex microflora is ...
Hibiscus sabdariffa L. or roselle is an important vegetable crop in several African countries. It rich vitamins and minerals widely used the diet of local populations Africa, especially Burkina Faso. However, up to now, there no in-depth study describing genetic diversity that has been carried out assess ecotypes cultivated Thus, this aims contribute providing more insights into variability Fas...
BACKGROUND Four subtypes of hepatocellular adenomas (HCA) are recognized: hepatocyte-nuclear-factor-1α mutated (H-HCA), β-catenin-mutated type with upregulation of glutamine synthetase (b-HCA), inflammatory type (IHCA) with serum-amyloid-A overexpression, and unclassified type. Subtyping may be useful since b-HCA appear to have higher risk of malignant transformation. We sought to apply subtype...
Hierarchical clustering based on pairwise similarities is a common tool used in a broad range of scientific applications. However, in many problems it may be expensive to obtain or compute similarities between the items to be clustered. This paper investigates the hierarchical clustering of N items based on a small subset of pairwise similarities, significantly less than the complete set of N(N...
In the MediaEval 2016 Retrieving Diverse Social Images Task, we proposed a general framework based on agglomerative hierarchical clustering (AHC). We tested the provided credibility descriptors as a vector input for our AHC. The results on devset showed that this vector based on the credibility descriptors is the best feature, but unfortunately that is not confirmed on testset. To merge several...
The paper considers techniques for grouping objects that are described with many quantitative and qualitative attributes and may exist in several copies. Such multi-attribute objects may be represented as multisets or sets with repeating elements. Multiset characteristics and operations under an arbitrary number of multisets are determined. The various options for the objects’ aggregation (addi...
This paper presents the TITech summarization system participating in TAC2009. Specifically, we discuss our results for the Update track. We propose a new method for creating summaries by ordering sentences. After a draft summary is obtained, we conduct agglomerative hierarchical clustering on the sentences of the draft summary based on sentence associativity. Then we use a probabilistic method ...
Semi-analytical models of galaxy formation based on hierarchical clustering now make a wide range of predictions for observable properties of galaxies at low and high redshift. This article concentrates on 2 aspects: (1) Self-consistent modelling of dust absorption predicts a mean UV extinction AUV ∼ 1 mag, depending only weakly on redshift, and similar to observational estimates. (2) The model...
Abstract The Birimian and Tarkwaian aquifer systems are the main sources of water supply for Bosome Freho District Bekwai Municipality inhabitants in Ashanti region Ghana. A hydrogeochemical assessment was carried out to ascertain natural baseline chemistry groundwaters factors influencing groundwater these two areas. multivariate statistical tool consisting principal component analysis (PCA) h...
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