Soil data clustering by using K-means and fuzzy K-means algorithm

A problem of soil clustering based on the chemical characteristics of soil, and proper visual representation of the obtained results, is analysed in the paper. To that aim, K-means and fuzzy K-means algorithms are adapted for soil data clustering. A database of soil characteristics sampled in Monten...

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Veröffentlicht in:Telfor Journal Jg. 8; H. 1; S. 56 - 61
Hauptverfasser: Hot, Elma, Popovic-Bugarin, Vesna
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Telecommunications Society, Academic Mind 2016
Schlagworte:
clustering
data mining
fuzzy K-means
K-means
pedologic map
ISSN:1821-3251
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Abstract A problem of soil clustering based on the chemical characteristics of soil, and proper visual representation of the obtained results, is analysed in the paper. To that aim, K-means and fuzzy K-means algorithms are adapted for soil data clustering. A database of soil characteristics sampled in Montenegro is used for a comparative analysis of implemented algorithms. The procedure of setting proper values for control parameters of fuzzy K-means is illustrated on the used database. In addition, validation of clustering is made through visualisation. Classified soil data are presented on the static Google map and dynamic Open Street Map.
AbstractList A problem of soil clustering based on the chemical characteristics of soil, and proper visual representation of the obtained results, is analysed in the paper. To that aim, K-means and fuzzy K-means algorithms are adapted for soil data clustering. A database of soil characteristics sampled in Montenegro is used for a comparative analysis of implemented algorithms. The procedure of setting proper values for control parameters of fuzzy K-means is illustrated on the used database. In addition, validation of clustering is made through visualisation. Classified soil data are presented on the static Google map and dynamic Open Street Map.
Author Popovic-Bugarin, Vesna
Hot, Elma
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CitedBy_id crossref_primary_10_1016_j_procs_2020_04_301
crossref_primary_10_1007_s10653_023_01520_z
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crossref_primary_10_1017_S0014479722000126
crossref_primary_10_1007_s10064_019_01472_8
crossref_primary_10_1038_s41598_025_89395_1
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StartPage 56
SubjectTerms clustering
data mining
fuzzy K-means
K-means
pedologic map
Title Soil data clustering by using K-means and fuzzy K-means algorithm
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