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Recognizing that the fundamental units of interest are the spatially contiguous clusters of voxels that are activated together, we set out to approximate these cluster units from the data by a clustering algorithm especially tailored for fMRI data.
The method is based on mean and maximum values of the amplitudes of waves after dividing them into folds then grouping them by a clustering algorithm (e.g. k-means algorithm).
Table 6 contains information about actual and predicted data distribution by a clustering algorithm.
We define estimated clustering as clustering obtained by a clustering algorithm, as opposed to ground-truth clustering manually achieved by a human expert.
Our system can disclose the correlations among items and determine the purchase time sequence of related merchandises by a clustering algorithm.
Each column of the Table (C 1,C 2,...,C 4) represents the instances in an actual cluster, each row (1, 2,..., 4) represents the instances in a predicted cluster by a clustering algorithm in Soybean data set.
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Salient regions of the environment, where user manipulation actions are more likely to have occurred, are detected by applying a clustering algorithm based on Gaussian Mixture Models applied to the user hand trajectory.
When considering mobile ad-hoc networks, this organization can be achieved by using a clustering algorithm such as the generalized max-min clustering algorithm [29], being the management of the clusters and their identification managed by the CGP routing scheme.
The number of clusters represents the number of groups in which all the points in the feature space need to be partitioned by employing a clustering algorithm, for example, the k-mean clustering algorithm.
Al-Momani et al. [21] achieved classification accuracy of 99.7% by applying a clustering algorithm for phishing detection while Zhan and Thomas [22] obtained a true positive rate of 99% by applying Stochastic Learning Weak Estimation approach.
The groups are formed by using a clustering algorithm.
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