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The resulting maps display the individual statements in two-dimensional space with more similar statements located closer to each other, and grouped into clusters that partition the space on the map. The Concept System software also creates other maps that show the statements in each cluster rated on one or more scales, and absolute or relative ...
Aspen Systems Inc - Aspen Cluster Management Environment (ACME) Borg, used at Google; Bright Cluster Manager, from Bright Computing; ClusterVisor, [2] from Advanced Clustering Technologies [3] CycleCloud, from Cycle Computing acquired By Microsoft; Komodor, Enterprise Kubernetes Management Platform; Dell/EMC - Remote Cluster Manager (RCM)
A cluster in general is a group or bunch of several discrete items that are close to each other. The cluster diagram figures a cluster, such as a network diagram figures a network, a flow diagram a process or movement of objects, and a tree diagram an abstract tree. But all these diagrams can be considered interconnected: A network diagram can ...
Link, visualise and explore sequence and meta-data using phylogenetic trees, maps and timelines OneZoom [8] uses IFIG (Interactive Fractal Inspired Graphs) to display phylogenetic trees which can be zoomed in on to increase detail Lifemap [9] Fractal-like representation to provide an interactive explorer of the tree of life "à la google maps"
Pacemaker is an open-source high availability resource manager software used on computer clusters since 2004. Until about 2007, it was part of the Linux-HA project, then was split out to be its own project. [3] It implements several APIs for controlling resources, but its preferred API for this purpose is the Open Cluster Framework resource ...
The cluster distances for which the nearest-neighbor chain algorithm works are called reducible and are characterized by a simple inequality among certain cluster distances. The main idea of the algorithm is to find pairs of clusters to merge by following paths in the nearest neighbor graph of the clusters. Every such path will eventually ...
Cube maps provide a fairly straightforward and efficient solution to rendering stable specular highlights. Multiple specular highlights can be encoded into a cube map texture, which can then be accessed by interpolating across the surface's reflection vector to supply coordinates. Relative to computing lighting at individual vertices, this ...
Fuzzy clustering (also referred to as soft clustering or soft k-means) is a form of clustering in which each data point can belong to more than one cluster.. Clustering or cluster analysis involves assigning data points to clusters such that items in the same cluster are as similar as possible, while items belonging to different clusters are as dissimilar as possible.