Thermal request optimization in district heating networks using a clustering approach
Sign Up to like & getrecommendations! Published in 2018 at "Applied Energy"
DOI: 10.1016/j.apenergy.2018.06.041
Abstract: Abstract In this paper, a method for the optimization of the thermal load of a district heating network acting on the building demand profiles is proposed. The aim of the optimization is to increase the… read more here.
Keywords: thermal request; reduction; optimization; district heating ... See more keywords
A clustering approach for classifying universities in a world sustainability ranking
Sign Up to like & getrecommendations! Published in 2020 at "Environmental Impact Assessment Review"
DOI: 10.1016/j.eiar.2020.106471
Abstract: Abstract Sustainability indicators are increasingly recognized as a useful tool to provide policy information in support of environmental, economic or social improvement. Various approaches to sustainability have also been adopted in universities through the introduction… read more here.
Keywords: world; universities world; classifying universities; sustainability ... See more keywords
A fuzzy c-means clustering approach for haplotype reconstruction based on minimum error correction
Sign Up to like & getrecommendations! Published in 2021 at "Informatics in Medicine Unlocked"
DOI: 10.1016/j.imu.2021.100646
Abstract: Abstract Studying human genetic evolution has attracted considerable attention. Haplotypes determination provides key information about human genetics, and facilitates understanding probable causal relations between traits and diseases. In general, experimental methods of haplotypes reconstruction are… read more here.
Keywords: reconstruction; means clustering; input fragments; fuzzy means ... See more keywords
Global offshore wind energy deployment: a geo-clustering approach
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Green Energy"
DOI: 10.1080/15435075.2019.1653876
Abstract: ABSTRACT The availability of wind resources around the world makes it an interesting alternative for clean energy. Offshore wind energy with considerable evolution in technology and investment becomes a sustainable source of renewable energy in… read more here.
Keywords: offshore wind; clustering approach; wind energy; energy ... See more keywords
Integration of Data Mining Clustering Approach in the Personalized E-Learning System
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2882240
Abstract: Educational data-mining is an evolving discipline that focuses on the improvement of self-learning and adaptive methods. It is used for finding hidden patterns or intrinsic structures of educational data. In the arena of education, the… read more here.
Keywords: data mining; mining; system; educational data ... See more keywords
Hierarchical Maximum Likelihood Clustering Approach
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2016.2542212
Abstract: Objective: In this paper, we focused on developing a clustering approach for biological data. In many biological analyses, such as multiomics data analysis and genome-wide association studies analysis, it is crucial to find groups of… read more here.
Keywords: maximum likelihood; likelihood; likelihood clustering; biological data ... See more keywords
A Divisive Hierarchical Clustering Approach to Hyperspectral Band Selection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3184353
Abstract: Band selection, considered as an effective dimensionality reduction technique for hyperspectral imagery (HSI), has become a hot topic for decades. Although various clustering-based methods have been applied to band selection, only a few studies explored… read more here.
Keywords: band; clustering approach; hierarchical clustering; divisive hierarchical ... See more keywords
A Clustering Approach to Learning Sparsely Used Overcomplete Dictionaries
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Information Theory"
DOI: 10.1109/tit.2016.2614684
Abstract: We consider the problem of learning overcomplete dictionaries in the context of sparse coding, where each sample selects a sparse subset of dictionary elements. Our main result is a strategy to approximately recover the unknown… read more here.
Keywords: overcomplete dictionaries; learning sparsely; sparsely used; used overcomplete ... See more keywords
A Double Clustering Approach for Color Image Segmentation
Sign Up to like & getrecommendations! Published in 2023 at "Wireless Communications and Mobile Computing"
DOI: 10.1155/2023/1039870
Abstract: One of the significant stages in computer vision is image segmentation which is fundamental for different applications, for example, robot control and military target recognition, as well as image analysis of remote sensing applications. Studies… read more here.
Keywords: clustering approach; image segmentation; double clustering; segmentation ... See more keywords
2D–EM clustering approach for high-dimensional data through folding feature vectors
Sign Up to like & getrecommendations! Published in 2017 at "BMC Bioinformatics"
DOI: 10.1186/s12859-017-1970-8
Abstract: BackgroundClustering methods are becoming widely utilized in biomedical research where the volume and complexity of data is rapidly increasing. Unsupervised clustering of patient information can reveal distinct phenotype groups with different underlying mechanism, risk prognosis… read more here.
Keywords: high dimensional; approach high; feature; dimensional data ... See more keywords
A clustering approach for detecting implausible observation values in electronic health records data
Sign Up to like & getrecommendations! Published in 2019 at "BMC Medical Informatics and Decision Making"
DOI: 10.1186/s12911-019-0852-6
Abstract: BackgroundIdentifying implausible clinical observations (e.g., laboratory test and vital sign values) in Electronic Health Record (EHR) data using rule-based procedures is challenging. Anomaly/outlier detection methods can be applied as an alternative algorithmic approach to flagging… read more here.
Keywords: approach detecting; electronic health; approach; detecting implausible ... See more keywords