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In statistics, single-linkage clustering is one of several methods of hierarchical clustering. It is based on grouping clusters in bottom-up fashion (agglomerative clustering), at each step combining two clusters that contain the closest pair of elements not yet belonging to the same cluster as each other. This method tends to produce long thin ...
Complete linkage clustering avoids a drawback of the alternative single linkage method - the so-called chaining phenomenon, where clusters formed via single linkage clustering may be forced together due to single elements being close to each other, even though many of the elements in each cluster may be very distant to each other. Complete ...
Hierarchical clustering dendrogram of the Iris dataset (using R). Source Hierarchical clustering and interactive dendrogram visualization in Orange data mining suite. ALGLIB implements several hierarchical clustering algorithms (single-link, complete-link, Ward) in C++ and C# with O(n²) memory and O(n³) run time.
A clustered file system ( CFS) is a file system which is shared by being simultaneously mounted on multiple servers. There are several approaches to clustering, most of which do not employ a clustered file system (only direct attached storage for each node). Clustered file systems can provide features like location-independent addressing and ...
OpenSSI uses several mechanisms to provide the single root – CFS (the OpenSSI Cluster File System), SAN cluster filesystems and parallel mounts of network file systems. OpenSSI uses the context dependent symbolic link (CDSL) feature, inspired by HP's TruCluster system, to allow access to node-specific files in a manner transparent to non ...
Methods have been developed to improve and automate existing hierarchical clustering algorithms such as an automated version of single linkage hierarchical cluster analysis (HCA). This computerized method bases its success on a self-consistent outlier reduction approach followed by the building of a descriptive function which permits defining ...
In the theory of cluster analysis, the nearest-neighbor chain algorithm is an algorithm that can speed up several methods for agglomerative hierarchical clustering. These are methods that take a collection of points as input, and create a hierarchy of clusters of points by repeatedly merging pairs of smaller clusters to form larger clusters.
Symmetric multiprocessing or shared-memory multiprocessing [1] ( SMP) involves a multiprocessor computer hardware and software architecture where two or more identical processors are connected to a single, shared main memory, have full access to all input and output devices, and are controlled by a single operating system instance that treats ...