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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 ...
Cluster analysis or clustering is the task of grouping a set of objects in such a way that ... it partitions the data space into a structure known as a Voronoi diagram.
The standard algorithm for hierarchical agglomerative clustering (HAC) has a time complexity of () and requires () memory, which makes it too slow for even medium data sets. . However, for some special cases, optimal efficient agglomerative methods (of complexity ()) are known: SLINK [2] for single-linkage and CLINK [3] for complete-linkage clusteri
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.
In mathematics, a Voronoi diagram is a partition of a plane into regions close to each of a given set of objects. ... (aka k-means clustering) use the construction of ...
Conceptual clustering is a machine learning paradigm for unsupervised classification that has been ... The diagram is intended to be illustrative only of ...
The cluster with this smallest mean dissimilarity is said to be the "neighboring cluster" of because it is the next best fit cluster for point . We now define a silhouette (value) of one data point i {\displaystyle i}
When clustering text databases with the cover coefficient on a document collection defined by a document by term D matrix (of size m×n, where m is the number of documents and n is the number of terms), the number of clusters can roughly be estimated by the formula where t is the number of non-zero entries in D. Note that in D each row and each ...