Unsupervised Learning for Plant Recognition
Six methods are used for clustering data containing two different objects: sugar-beet plants and weed. These objects are described by 19 different features, i.e. shape and color features. There is also information about the distance between sugar-beet plants that is used for labeling clusters. Th...
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| Format: | Others |
| Language: | English |
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Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE)
2006
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-247 |