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Visualwords, denoted as the discrete set, are formed by clustering the features into N clusters, so that each local feature is assigned to a discrete label.
(2) Visualwords, denoted as the discrete set, are formed by clustering the features into N clusters, so that each local feature is assigned to a discrete label.
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By clustering the feature channels with coincident responses and reconstructing their input, one may segregate the underlying source from the simultaneously interfering signals that are uncorrelated with it.
The segmentation was based on the fuzzy C-means (FCM) algorithm, which was able to classify the pixels into a specified number of regions by clustering those features.
But where you cluster what you do is you first cluster the features, and then you cluster objects within each feature subset.
It is assumed that the local features of each class are sampled from a class-specific manifold (mathbf mathit {M}^{c} =left [mathbf {m}_{1}^{c}, mathbf {m}_{2}^{c},ldots, mathbf {m}_{n_{c}}^{c}right ]), which is determined by clustering local features of the training images from the corresponding class c.
Interestingly, a recent study by Kang et al. showed that different disease profiles can be determined by clustering distinct features in patients with chronic neck pain [ 29].
Here, importance is determined by clustering among low-level features before the images are projected into the abstract layer.
Another striking feature revealed by clustering analysis was that none of the tumor lines were particularly similar to each other.
In the next article, "Feature Selection and Replacement by Clustering Attributes", Tzung-Pei Hong et al. present an approach for selecting features based on attribute clustering, an important problem for indexing datasets.
In [2, 3], BWs method is explored to accomplish PGR task, in which a visual feature dictionary is constituted by clustering spin images [18].
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