Πλοήγηση ανά Θέμα "Cluster analysis"
Αποτελέσματα 1-20 από 24
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Analysing consumers' perceived differences in wild and farmed fish
(2015)Purpose - The purpose of this paper is to investigate consumers' attitudes and behaviours towards wild and farmed fish, in order to identify possible distinct consumer groups, and to examine potential linkages between ... -
Application of data mining-based affinity propagation clustering algorithm for diagnosis of mechanical equipment transmission system
(2020)– Data mining techniques used to monitor and diagnose the faults of the transmission system of mechanical equipment, thereby promoting the development of big data analysis in the field of intelligent diagnosis. The Affinity ... -
Application of multivariate statistical methods for groundwater physicochemical and biological quality assessment in the context of public health
(2010)Three representative areas (lowland, semi-mountainous, and coastal) have been selected for the collection of drinking water samples, and a total number of 28 physical, chemical, and biological parameters per water sample ... -
Assessment and Modelling of Groundwater Quality Data by Environmetric Methods in the Context of Public Health
(2010)Various chemometric methods were used to analyze and model potable water quality data. Twenty water quality parameters were measured at 164 different sites in three representative areas (low land, semi-mountainous, and ... -
Assessment of natural and anthropogenic impacts in groundwater, utilizing multivariate statistical analysis and inverse distance weighted interpolation modeling: the case of a Scopia basin (Central Greece)
(2018)In Scopia basin, central Greece, a hydrochemical investigation was completed. Groundwater samples from 41 sites were used to assess the natural and anthropogenic impacts in groundwater, utilizing the principal component ... -
Classification of apoptosis using advanced clustering techniques on digital microscopic images
(2010)Programmed cell death, also known as apoptosis is of fundamental importance in many biological processes and also highly associated with serious diseases like cancer and HIV. The current paper presents an innovative method ... -
Classification of potential sheep heat-stress levels according to the prevailing meteorological conditions
(2015)Many researchers have found that physiology, welfare, health, and productivity of ruminants are significantly affected when they are exposed to heat-stress conditions. In such cases, heat-stress may also cause a reduction ... -
Clinical phenotypes related to smoking cessation
(2013)Introduction: The aim of the current study is the identification of clinical phenotypes of patients visiting a specialized smoking cessation center and the determination of smoking cessation rate for each phenotype, 1 year ... -
Confronting Sparseness and High Dimensionality in Short Text Clustering via Feature Vector Projections
(2020)Short text clustering is a popular problem that focuses on the unsupervised grouping of similar short text documents, or entitled entities. Since the short texts are currently being utilized in a vast number of applications, ... -
Convolutional Variational Autoencoders for Image Clustering
(2021)The problem of data clustering is one of the most fundamental and well studied problems of unsupervised learning. Image clustering, refers to one of the most challenging specifications of clustering, concerning image data. ... -
Evaluation of thermal perception in schoolyards under Mediterranean climate conditions
(2015)The aim of this paper was to study qualitatively and quantitatively the thermal perception and corresponding heat stress conditions that prevail in two schoolyards in a coastal city in central Greece. For this purpose, ... -
Evolutionary principal direction divisive partitioning
(2010)While data clustering has a long history and a large amount of research has been devoted to the development of clustering algorithms, significant challenges still remain. One of the most important challenges in the field ... -
Improving Hierarchical Short Text Clustering through Dominant Feature Learning
(2022)This paper focuses on the popular problem of short text clustering. Since the short text documents typically exhibit high degrees of data sparseness and dimensionality, the problem in question is generally considered more ... -
Independent component clustering for skin lesions characterization
(2011)In this paper, we propose a clustering technique for the recognition of pigmented skin lesions in dermatological images. It is known that computer vision-based diagnosis systems have been used aiming mostly at the early ... -
Isolation and identification of nontuberculous mycobacteria from hospitalized patients and drinking water samples—examination of their correlation by chemometrics
(2016)Nontuberculous mycobacteria (NTM) have been found to be widely dispersed in the environment and are being considered potentially pathogenic for humans and animals, while reports of their human to human transmission are ... -
A New Topology-Preserving Distance Metric with Applications to Multi-dimensional Data Clustering
(2019)In many cases of high dimensional data analysis, data points may lie on manifolds of very complex shapes/geometries. Thus, the usual Euclidean distance may lead to suboptimal results when utilized in clustering or visualization ... -
A Scalable Short-Text Clustering Algorithm Using Apache Spark
(2021)Short text clustering deals with the problem of grouping together semantically similar documents with small lengths. Nowadays, huge amounts of text data is being generated by numerous applications such as microblogs, ... -
Skin lesions characterisation utilising clustering algorithms
(2010)In this paper we propose a clustering technique for the recognition of pigmented skin lesions in dermatological images. It is known that computer vision-based diagnosis systems have been used aiming mostly at the early ... -
An Updated Review of Meat Authenticity Methods and Applications
(2016)Adulteration of foods is a serious economic problem concerning most foodstuffs, and in particular meat products. Since high-priced meat demand premium prices, producers of meat-based products might be tempted to blend these ... -
The use of hydrogeochemical analyses and multivariate statistics for the characterization of groundwater resources in a complex aquifer system. A case study in Amyros River basin, Thessaly, central Greece
(2016)The present study investigates the hydrogeochemical regime of a complex aquifer system in a highly cultivated area of Thessaly, central Greece. To do so, totally forty (40) groundwater samples were collected for three ...