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In this paper we present the design and implementation of Tsinghua Object Data Store (TODS), a cluster object storage system to support the building of scalable Internet services.
Wang et al. [69] considered the difficulty of determining the value of K, and the relations among the cluster object or community node and the community.
Each pixel covers ∼0.14 μ of the flowcell and ∼9 pixels comprise one cluster object.
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K-means algorithm uses the average of cluster objects as a center.
Ark creates backups of all cluster objects and lets you snapshot your volumes with the ability to restore the entire cluster back to its previous state.
Note that both the (k -means and the (k -meansds androaches are mainly designed thecluster objects, but not attributes.
In addition, it can handle outliers since the noise will not synchronize to cluster objects.
In addition, because the outliers do not synchronize with cluster objects, the concept of synchronization allows handling the natural outliers.
For example, we may wish to cluster objects into groups [ 37], put objects into order [ 38] or discover specific patterns of connectivity within subgroups [ 39- 42].
Ordinary one-way clustering algorithms cluster objects using the complete feature space, e.g. a clustering of the genes with respect to the gene expression values of all patients.
The sync [ 30] algorithm inherited from synchronization, which is a novel approach to cluster objects inspired by the powerful concept of synchronization.
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