Automatic classification of high resolution land cover using a new data weighting procedure: The combination of k-means clustering algorithm and central tendency measures (KMC-CTM)

Applied Soft Computing Journal

Volumn 35, Issue , 2015, Pages 136-150

  Durduran, Süleyman Savaş ^a  

^a NECMETTIN ERBAKAN UNIVERSITY   (Turkey)

Author keywords

Classification; Data pre processing; Data weighting; The combination of k means clustering algorithm and central tendency measures (KMC CTM); Urban land cover

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); CLUSTER ANALYSIS; DATA HANDLING; LAND USE; LEARNING SYSTEMS; MAPPING; NEAREST NEIGHBOR SEARCH; SUPPORT VECTOR MACHINES; URBAN PLANNING;

AUTOMATIC CLASSIFICATION; CENTRAL TENDENCY MEASURES; DATA PREPROCESSING; DATA WEIGHTING; K-MEANS CLUSTERING ALGORITHM; K-MEANS CLUSTERING METHOD; UNIVERSITY OF CALIFORNIA; URBAN LAND COVER;

CLUSTERING ALGORITHMS;

EID: 84936864347     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2015.06.025     Document Type: Article

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