TY  - JOUR
AU  - Oliveira, Arjun
AU  - Wang, Kamrul
TI  - K-Means Clustering Applied to Adsorption of Heavy Metals
JO  - Open Access Journal of Engineering Applications
PY  - 2010
VL  - 34
IS  - 2
SP  - 603
EP  - 636
AB  - The economic importance of thermal power plants justifies a careful examination of adsorption of heavy metals. Field measurements from thermal power plants provide the input data for the analysis, which relies on k-means clustering. The settlement is limited to less than 5 millimetres under the design load. The insights gained may inform policy as well as engineering practice.
KW  - adsorption of heavy metals
KW  - k-means clustering
KW  - genetic algorithm
KW  - artificial neural network
KW  - induction motor
KW  - water resources management
SN  - 3105-7004
DO  - 10.55555/oajea.2010.3402.032
UR  - https://journal.bsaps.com/article/8749
ER  -