نتایج جستجو برای: clustering analysis
تعداد نتایج: 2864801 فیلتر نتایج به سال:
background: gliomas are the most frequently observed primary brain tumors. these tumors comprise a variety of different histological tumor types and malignancy grades. oligodendrogliomas typically contain a rich network of branching capillaries. approximately 50%-80% of oligodendrogliomas demonstrate a combined loss of chromosomes 1p and 19q. oligodendrogliomas differ from neurocytomas in that ...
در این مطالعه با جمع آوری 700 ایزوله از میزبانان واسط مختلف (گوسفند، گاو، شتر و انسان) شباهتها و اختلافهای بین استرینهای آلوده کننده حیوانات و انسان در منطقه اصفهان مورد مطالعه قرار گرفته است. این سنجش شامل تعداد کل قلاب، تعداد قلاب های بزرگ و کوچک، طول کل و طول تیغه قلاب های بزرگ و کوچک می باشد. با انجام آزمون آنالیز واریانس یک طرفه( (oneway-anova با سطح اطمینان 99/99% با استفاده از مشخصات ت...
Introduction: Contrary to Diagnostic and Statistical Manual of Mental Disorders (DSM-5), fifth edition, some studies indicate that ADHD-inattentive presentation (ADHD-I) is a distinct diagnostic disorder and not an ADHD presentation. Methods: In this study, 12 ADHD-combined presentation (ADHD-C), 10 ADHD-I, and 13 controls were enrolled and their resting state EEG recorded. Following thi...
The detection and prevention of crime, in the past few decades, required several years of research and analysis. However, today, thanks to smart systems based on data mining techniques, it is possible to detect and prevent crime in a considerably less time. Classification and clustering-based smart techniques can classify and cluster the crime-related samples. The most important factor in the c...
Presently, the quality assurance of agarwood oil is performed by sensory panels which has significant drawbacks in terms of objectivity and repeatability. In this paper, it is shown how an electronic nose (e-nose) may be successfully utilised for the classification of agarwood oil. Hierarchical Cluster Analysis (HCA) and Principal Component Analysis (PCA), were used to classify different types ...
Traditionally unsupervised dimensionality reduction methods may not necessarily improve the separability of the data resided in different clusters due to ignorance of the inherent relationship between subspace selection and clustering. It is known that soft clustering using fuzzy c-means or its variants can provide a better and more meaningful data partition than hard clustering, which motivate...
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