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We present an unsupervised anomaly detection method for hyperspectral imagery (HSI) based on data characteristics inherit in HSI.
However, few studies have focused on how to choose log-ratio transformation, kriging, cokriging, or robust variogram estimation methods based on data characteristics to achieve optimal performance when mapping soil psf by comprehensive comparative analysis.
Supervised learning methods are utilized to identify the patterns of melt pool images and build a black-box model for the probability distribution of class labels (namely, porosity) based on data characteristics of predictors (e.g., melt pool characteristics).
The empirical results demonstrate that the novel methodology with the principle of "data-characteristic-driven modeling" strikingly improves prediction performance, since the models elaborately built based on data characteristics statistically outperform all other benchmark models without consideration of data characteristics.
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KMO analysis yielded an index of 0.94, and BTS (χ2 = 7758.34, df = 91, p < 0.001) was highly significant indicating the data satisfied the psychometric criteria for the factor analysis to be performed based on data distribution characteristics.
Based on data of geometric characteristics, Horton [Horton, R.E., 1932. Drainage basin characteristics. EOS Trans. AGU 13, 350 361.], Hack [Hack, J.T., 1957. Studies of longitudinal profiles in Virginia and Maryland. USGS Professional Papers 294-B, Washington DC, pp. 46 97.], and Melton [Melton, M.A, 1958.
In this section we show that our framework can be instantiated for other case studies based on data with different characteristics with respect to the Unicoop data.
To compare the characteristics of differing groups of companies, we applied an analysis method based on data mining to profile the characteristics of the companies.
This paper presents an approach to observe network characteristics based on data mining framework.
This retrospective case series study was designed to examine the existence of a correlation between symptoms and reflux characteristics, based on data obtained from esophageal pH monitoring.
Therefore, in the present study, we developed a method to accurately predict various CFRP thermoset molding characteristics based on data assimilation, a process that combines theoretical and experimental values.
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