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Volumn 2000-January, Issue , 2000, Pages 520-524
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Design tradeoffs in a hardware implementation of the k-means clustering algorithm
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Author keywords
Clustering algorithms; Concurrent computing; Euclidean distance; Hardware; Hyperspectral imaging; Hyperspectral sensors; Image analysis; Information analysis; Parallel processing; Pixel
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Indexed keywords
ALGORITHMS;
COMPUTER HARDWARE;
FIELD PROGRAMMABLE GATE ARRAYS (FPGA);
HARDWARE;
IMAGE ANALYSIS;
INFORMATION ANALYSIS;
INTEGRATED CIRCUIT DESIGN;
PIXELS;
SIGNAL PROCESSING;
SPECTROSCOPY;
CONCURRENT COMPUTING;
EUCLIDEAN DISTANCE;
HYPERSPECTRAL IMAGING;
HYPERSPECTRAL SENSORS;
PARALLEL PROCESSING;
CLUSTERING ALGORITHMS;
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EID: 0010870265
PISSN: None
EISSN: 2151870X
Source Type: Conference Proceeding
DOI: 10.1109/SAM.2000.878063 Document Type: Conference Paper |
Times cited : (21)
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References (4)
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