SYNCHRONIZATION-INSPIRED PARTITIONING AND HIERARCHICAL CLUSTERING
Rs4,500.00
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ABSTRACT
Synchronization is the process of group of events spontaneously comes into concurrent process
for achieving the common task. In our project, objects in the data set have been partitioned and
cluster in a hierarchical format. Data clustering method is based on the Extensive kuramoto
model. It is a model for identifying the transformations of the objects. It is also based on the
Minimum Description Length. It is used for displaying the essential details of the object. In this,
each object has been assigned to a single phase Compare with neighbor objects behavior; it has
been merged into single cluster. It has been processed under in step by step process.
Synchronization phenomena in nature have been widely investigated and models concisely
describing the dynamical synchronization process have been proposed, e.g., the well-known
Extensive Kuramoto Model.
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