Triple collocation for binary and categorical variables: Application to validating landscape freeze/thaw retrievals
نویسندگان
چکیده
منابع مشابه
Conversion of categorical variables into numerical variables via Bayesian network classifiers for binary classifications
Many pattern classification algorithms such as Support Vector Machines (SVMs), MultiLayer Perceptrons (MLPs), and K-Nearest Neighbors (KNNs) require data to consist of purely numerical variables. However many real world data consist of both categorical and numerical variables. In this paper we suggest an effective method of converting the mixed data of categorical and numerical variables into d...
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ژورنال
عنوان ژورنال: Remote Sensing of Environment
سال: 2016
ISSN: 0034-4257
DOI: 10.1016/j.rse.2016.01.010