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The influence in several data reception periods calculated through the method based on energy field model shows more dramatic change than that calculated through the methods based on cluster contraction and energy aware, as shown in Fig. 7.
If the test-statistic field reaches supra-threshold values, a cluster-width inference is computed (in the present applications of SPM, the inference is only based on cluster width and not on the height above the threshold [ 21]).
Unsupervised learning based on clustering is an important field of artificial intelligence.
Furthermore, some graph-theoretic methods either based on clustering or on heuristic search have also been introduced in the field of motif discovery [ 26– 28].
The proposed method is based on clustering of input space vectors and computing weights of Euclidian distances and histogram equalization within each cluster for determining the centre and width of each receptive field.
The proposed method herein is based on clustering of input space vectors and computing weights of Euclidian distances and histogram equalization within each cluster will determine the centre and width of each receptive field.
Allocation was based on clusters.
Five clusters, created based on savings potential, were defined.
The layout is based on force field clustering.
Also, the classifications of unequal clustering approaches are made and compared based on various cluster properties, Cluster Head (CH) properties and clustering process.
The KM-I2C algorithm divides distinct clusters in datasets into sub clusters based on inter-cluster and intra-cluster similarities.
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