Search results for " cluster analysis."

DISCOVER POTENTIAL SEGMENTS OF WINE SHOPS BASING ON SALES STRATEGIES BY CLUSTER ANALYSIS

2015

The HORECA channel is a very important for promoting high-quality wines. In fact, through this distribution channel, consumers can experience wines before purchasing, taste them also with foods and receive additional information. Market segmentation is very crucial for businesses; therefore specific criteria must be applied for a successful segmentation. In this study wine shop segmentation was carried out by explorative hierarchical Cluster Analysis in order to discover potential segments of wine shops and wine bars based on their sales strategies. Moreover, wine shop(s) role in dissemination of information about quality wines was investigated. A census was carried out in a selected Italia…

Cluster Analysis of Home Polygraphic Recordings in Symptomatic Habitually-Snoring Children: A Precision Medicine Perspective

2022

(1) Background: Sleep-disordered breathing (SDB) is a frequent problem in children. Cluster analyses offer the possibility of identifying homogeneous groups within a large clinical database. The application of cluster analysis to anthropometric and polysomnographic measures in snoring children would enable the detection of distinctive clinically-relevant phenotypes; (2) Methods: We retrospectively collected the results of nocturnal home-based cardiorespiratory polygraphic recordings and anthropometric measurements in 326 habitually-snoring otherwise healthy children. K-medoids clustering was applied to standardized respiratory and anthropometric measures, followed by Silhouette-based statis…

Comparison of global visual field indices (MD,VFI), GPA II change and cluster analysis of visual field progression in glaucoma

2014

Population differentiation of the European pond turtle (Emys orbicularis) in Poland inferred by the analysis of mitochondrial and microsatellite DNA …

2013

We investigated the genetic diversity of Polish populations of the European pond turtle (Emys orbicularis) using complete sequences of the mitochondrial cytochrome b gene and allelic variation at thirteen microsatellite loci. We collected data from 146 turtles from 28 locations covering most of the species’ range in Poland. Our results showed a low haplotype diversity and high levels of microsatellite diversity in all populations. We applied two Bayesian approaches using the multilocus data and determined relationships of mtDNA haplotypes by constructing a parsimony network. We observed relatively consistent results of the two Bayesian clustering methods and largely concordant differentiati…

Proanthocyanidins and Where to Find Them: A Meta-Analytic Approach to Investigate Their Chemistry, Biosynthesis, Distribution, and Effect on Human He…

2021

Proanthocyanidins (PACs) are a class of polyphenolic compounds that are attracting considerable interest in the nutraceutical field due to their potential health benefits. However, knowledge about the chemistry, biosynthesis, and distribution of PACs is limited. This review summarizes the main chemical characteristics and biosynthetic pathways and the main analytical methods aimed at their identification and quantification in raw plant matrices. Furthermore, meta-analytic approaches were used to identify the main plant sources in which PACs were contained and to investigate their potential effect on human health. In particular, a cluster analysis identified PACs in 35 different plant famili…

Selecting significant respondents from large audience datasets: The case of the World Hobbit Project

2016

International projects, online questionnaires, or data mining techniques now allow audience researchers to gather very large and complex datasets. But whilst data collection capacity is hugely growing, qualitative analysis, conversely, becomes increasingly difficult to conduct. In this paper, I suggest a strategy that might allow the researcher to manage this complexity. The World Hobbit Project dataset (36,109 cases), including answers to both closed and open-ended questions, was used for this purpose. The strategy proposed here is based on between-methods sequential triangulation, and tries to combine statistical techniques (k-means clustering) with textual analysis. K-means clustering pe…

Using Two-Step Cluster Analysis and Latent Class Cluster Analysis to Classify the Cognitive Heterogeneity of Cross-Diagnostic Psychiatric Inpatients

2020

The heterogeneity of cognitive profiles among psychiatric patients has been reported to carry significant clinical information. However, how to best characterize such cognitive heterogeneity is still a matter of debate. Despite being well suited for clinical data, cluster analysis techniques, like the Two-Step and the Latent Class, received little to no attention in the literature. The present study aimed to test the validity of the cluster solutions obtained with Two-Step and Latent Class cluster analysis on the cognitive profile of a cross-diagnostic sample of 387 psychiatric inpatients. Two-Step and Latent Class cluster analysis produced similar and reliable solutions. The overall result…

A Statistical Approach for A-Posteriori Deployment of Microclimate Sensors in Museums: A Case Study

2022

[EN] The deployment of sensors is the first issue encountered when microclimate monitoring is planned in spaces devoted to the conservation of artworks. Sometimes, the first decision regarding the position of sensors may not be suitable for characterising the microclimate close to climate sensitive artworks or should be revised in light of new circumstances. This paper fits into this context by proposing a rational approach for a posteriori deployment of microclimate sensors in museums where long-term temperature and relative humidity observations were available (here, the Rosenborg Castle, Copenhagen, Denmark). Different statistical tools such as box-and-whisker plots, principal component …

Buone pratiche e strumenti di analisi per l’apprendimento, l’insegnamento e l’inclusione

2022

Il presente lavoro, nato in seno al progetto di ricerca “Best practices and tools of analysis in schools and community contexts: learning, teaching & inclusion”, avviato su fondi del Dipartimento SPPEFF dell’Università di Palermo, nel marzo 2019 e giunto alla sua seconda fase. La metodologia di ricerca utilizzata – perché ritenuta adeguata a perseguire le finalità fissate e a fornire una visione complessa ed articolata del fenomeno investigato – è stata quella del Mixed Method, con particolare riferimento all’Explanatory Design: Participant Selection Model di Creswell, Plano Clark, et al. (2003). L’«Explanatory Design is a two-phase mixed methods design. The overall purpose of this desi…

Axiology of the historial city and the cap rate. The case of the old town of Ragusa Superiore

2017

Il contributo affronta il tema del ruolo che il mercato immobiliare assume nei processi di valorizzazione dei tessuti urbani storici nella logica dell’approccio al valor capitale. L’articolazione, eterogeneità e multi-contestualità del patrimonio immobiliare della città storica, la molteplicità delle relazioni tra valori e prezzo, la complessa dialettica fondo/flusso, l’eterogeneità dei profili dei soggetti economici che interagiscono nel mercato, danno vita ad un assortimento di approcci all’investimento immobiliare che in questo contributo, attraverso l’analisi del saggio di capitalizzazione si intendono rappresentare. La convergenza tra valori di contesto e potenzialità inespresse da una…