How do we decide if a point is “close enough” to a cluster that we will add the point to that cluster?

Cluster analysis is to find hidden categories. A hidden category (i.e., probabilistic cluster) is a distribution over the data space, which can be mathematically represented using a probability …

Supercomputer/High Performance Computing (HPC) cluster: A collection of similar computers connected by a high speed interconnect that can act in concert with each other.

Many algorithms are designed to cluster numerical data Applications may require clustering other types of data: binary, categorical (nominal), and ordinal data, or mixtures of these data types

Once a cluster has been selected for support, a Cluster Development Agent (CDA) or cluster broker, is appointed to facilitate the process of cluster development in the diferent target clusters.

This e-book explains what a cluster is, what issues you can resolve by using clustering and how to create and deploy clusters in a VMware environment. A cluster is a group of independent …

Contiguous Cluster (Nearest neighbor or Transitive) – A cluster is a set of points such that a point in a cluster is closer (or more similar) to one or more other points in the cluster than to any …