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The number of clusters with the highest ln L is the most likely number of natural clusters of the data.
Unsupervised principal component analysis (PCA [ 13, 14])) was performed for detecting the clusters of the data if any and identifying statistical outliers.
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To decide the optimal number of fuzzy rules, the clustering of the data using modified Fuzzy C-Means (FCM) is used to implement hybrid optimization method.
Fig. 2 The clustering of the data.
Thus, the created map depicts the clustering of the data and the pattern of their relationship.
We conducted multilevel analyses to adjust for clustering of the data.
Two strategies based on uncertainty and clustering of the data space are considered to perform active selection.
Clustering of the data is achieved through the minimization of the objective function J HKM = ∑ n = 1 N ∑ θ ( k, l ) ∈ C n D n ( k, l ), (15).
Their model starts with an initial clustering of the data, then the user can directly interact with the algorithm step-wise.
We estimated standard errors by the Taylor series method with SUDAAN version 10.0.1 (National Institute of Mental Health [2010]; Research Triangle Institute [2009]) to adjust for the weighting and clustering of the data.
Average linkage hierarchical clustering of the data was carried out as described [75].
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