TY - JOUR
TI - The usefulness of cluster analysis in the analysis of data obtained in the monitoring of the water environment
AU - Kubala, Marek
TI - The usefulness of cluster analysis in the analysis of data obtained in the monitoring of the water environment
AB - 
	Data obtained through the monitoring of the water environment often includes a number of indicators, and is frequently collected from a large area or over a long period of time. Analysis of such data can be problematic. The division of elements which have a certain degree of similarity into subgroups may facilitate data analysis and provide indications as to the direction of the analysis. One tool for the separation of such groups of similar elements is cluster analysis. This paper describes the two most commonly used cluster analysis algorithms and summarises the results of several applications of cluster analysis in water monitoring.
VL - 2017
IS - Volume 12 Year 2017 (114)
PY - 2017
SN - 0011-4561
C1 - 2353-737X
SP - 181
EP - 189
DO - 10.4467/2353737XCT.17.218.7761
UR - https://ejournals.eu/en/journal/czasopismo-techniczne/article/the-usefulness-of-cluster-analysis-in-the-analysis-of-data-obtained-in-the-monitoring-of-the-water-environment
KW - water environment monitoring
KW - cluster analysis
KW - hierarchical clustering
KW - k-means clustering