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Due to the errors, the same problem mentioned above appears in cluster analysis.
Yet, when active contribution to discussion was included in cluster analysis, seven distinct clusters were emerged.
But accuracy in FZI method is much more than in cluster analysis.
Open image in new window Fig. 14 Relation of porosity and permeability in cluster analysis clusters.
Clustering is the most important task in unsupervised learning and cluster validation plays a very important role in cluster analysis.
The variables on pain at the interspinous spaces and the SRL tests were entered in cluster analysis.
Actually in cluster analysis calculation of proximity of two clusters is a key operation which is called proximity cluster.
For the last two decades, there has been significant research work in cluster analysis of the data [5 7].
Determining the number of clusters in a data set is one of the most challenging and difficult problems in cluster analysis.
The fuzzy C-means (FCM) algorithm was first proposed by Bezdek [28] and has been used in cluster analysis, pattern recognition, and image processing [29 32].
Lorenz plot for 3 wells in Fig. 17 shows that in cluster analysis, clusters almost have relative concentration and have a relative accuracy for identifying Transmissive and storage units.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com