Sentence examples for common clustering from inspiring English sources

Regarding the user diagnosis, the proposed method has been compared to other common clustering methods.

To obtain position estimates from intensities in TSSG/ALM, we use a common clustering scheme.

Common clustering techniques, such as K-Means, for remote sensing images usually suffer from initial starting conditions effects.

One of the most common clustering methods is to remove edges with highest betweenness, and group nodes that are in the same connected component into a cluster.

Using two common clustering methods, K-means and Spectral techniques, partitioning the hard training patterns database and then the modeling tasks are elaborated.

Common clustering algorithms require multiple scans of all the data to achieve convergence, and this is prohibitive when large databases, with data arriving in streams, must be processed.

The feature vectors located in a common cluster is excluded.

Every cluster consists of multiple sensor nodes with one common cluster head.

Typical common cluster-based routing protocols include LEACH [15], PEGASIS [16], TEEN [17], and TTDD [18].

Those devices into a common cluster (e.g. femtoBS, macroBS, relays, etc).

This model allows for intra-cluster correlation of observations by assuming that they share common cluster-level random effects.