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...ween clusters (<math>d_{min}, d_{mean}</math>) tend to work with different cluster shapes. Also the [[Analysis of algorithms|running time]] is high when n is ..., it uses centroids of the clusters and assigns each [[data point]] to the cluster with the closest centroid.{{citation needed|date=May 2015}} Using only the ...

..."inline">k</math>-hop clustering algorithm) provides a fully [[Distributed computing|distributed]] and localized approach to group elements such as nodes in a n ...ation problems, networked [[Swarm intelligence|swarming]], and real-time [[Cluster analysis|data clustering and analysis]]. ...

The [[mutual information]] of cluster overlap between ''U'' and ''V'' can be summarized in the form of an ''R''x' ...is picked at random from ''S''; the probability that the object falls into cluster <math>U_i</math> is: ...

...sing the remaining redundant nodes on the cluster to take over the [[Load (computing)|load]] of failed nodes for providing constant services.{{sfn|Robertson|200 ...the procedure involves sending [[network packet]]s to all the nodes in the cluster to verify its [[Reachability analysis|reachability]].{{sfn|Robertson|2000|p ...

...computing|distributed systems]] to reliably deliver messages to the whole cluster using a constant amount of network resources on each node and ensuring no s ...bit complexity randomized distributed MIS algorithm| journal = Distributed Computing| volume = 23| issue = 5–6| pages = 331| year = 2010| last1 = Métivier | fir ...

{{Short description|Evaluation method in cluster analysis}} The '''Fowlkes–Mallows index''' is an [[Cluster analysis#External evaluation|external evaluation]] method that is used to d ...

...rks by normalizing the differences between each pair of variables and then computing a weighted average of these differences. The distance was defined in 1971 b ...usseeuw |first2=Peter J. |title=Finding groups in data: an introduction to cluster analysis |date=1990|pages=35–36 |publisher=Wiley |location=New York |isbn=9 ...

{{Short description|Quality measure in cluster analysis}} ...te''' is a method of interpretation and validation of consistency within [[Cluster analysis|clusters of data]]. The technique provides a succinct graphical re ...

...pecialization of each node in the network. It is well suited to finding [[cluster analysis|clusters]] within data. ...time. The neuron that wins the competition is called a [[Winner-take-all (computing)|"winner-take-all" neuron]]. ...

.... the sum of squared distances from each data point being clustered to its cluster center (the center that is closest to it). ...the second of these obstacles by specifying a procedure to initialize the cluster centers before proceeding with the standard ''k''-means optimization iterat ...

...rnal Boundary Vertices, they can be thought of as Boundary Vertices of the cluster which represents the entire top tree. ===Cluster=== ...

...rning models include [[support-vector machine|support-vector machines]], [[cluster analysis|clustering]] and [[probabilistic graphical model|probabilistic gra ...models]], QUBO constitutes a central problem class for [[adiabatic quantum computing|adiabatic quantum computation]], where it is solved through a physical proc ...

In [[computer science]], '''data stream clustering''' is defined as the [[cluster analysis|clustering]] of data that arrive continuously such as telephone re ...| first3 = S. | last3 = Rajagopalan | citeseerx = 10.1.1.19.9554 | title = Computing on Data Streams | journal = Digital Equipment Corporation | volume = TR-199 ...

...ght of edge <math>uv</math> and let <math>C(uv)</math> denote the smallest cluster of a given clustering that contains both <math>u</math> and <math>v</math>. | title = Proceedings of the 48th Annual ACM SIGACT Symposium on Theory of Computing (STOC 2016) ...

|title=Numerical Recipes: the Art of Scientific Computing ...ing [[Cluster analysis#Clustering_algorithms|clustering algorithms]] since cluster labels typically have no particular ordering.<ref name=JimWhite/> ...

...=Jonathan P. | last6=Milburn | first6=G. J. | title=Linear optical quantum computing with photonic qubits | journal=Reviews of Modern Physics | publisher=Americ ==Creation of the cluster state== ...

{{main article|Cluster analysis}} ...disagreements (absolute value of the sum of negative edge weights within a cluster plus the sum of positive edge weights across clusters). Unlike other cluste ...

{{redirect|Elastic computing|the physical property|Elasticity (physics)|the economics measurement|Elasti ...Responsive Elastic Computing |date=15 June 2009 |publisher=Association for Computing Machinery |isbn=978-1-60558-578-9|display-authors=etal}}</ref> ...

...ntral atom of each cluster becomes one of the boundary atoms for the other cluster. The resulting cluster of 19 atoms has two interior atoms (the centers of the two icosahedra) with ...

Submissions are judged on one [[Computing cluster|cluster]]:<ref>{{cite web ...POJ. On this cluster memory limit for submissions is 1536 MB." The Pyramid cluster has been deactivated. ...