Automatic classification of high resolution land cover using a new data weighting procedure: The combination of k-means clustering algorithm and central tendency measures (KMCCTM)
In this study, an Urban Land Cover Dataset received from the database of UCI machine learning was used as the urban land cover data. A new data weighting method called KMC-CTM was recommended to classify these 9 different patterns automatically.
classification data weighting the combination of k-means clustering algorithm and central tendency measures (kmcctm) urban land cover data pre-processing