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  2. Cluster diagram - Wikipedia

    en.wikipedia.org/wiki/Cluster_diagram

    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 ...

  3. DBSCAN - Wikipedia

    en.wikipedia.org/wiki/DBSCAN

    Now if p is a core point, then it forms a cluster together with all points (core or non-core) that are reachable from it. Each cluster contains at least one core point; non-core points can be part of a cluster, but they form its "edge", since they cannot be used to reach more points. In this diagram, minPts = 4.

  4. Cluster - Wikipedia

    en.wikipedia.org/wiki/Cluster

    Cluster diagram, general type of diagram, which represents some kind of cluster Clusterfuck or cluster, slang term for a messy situation, arising in the US Marine Corps Clusters School of Digital Arts , an animation and visual effects training school

  5. Cluster analysis - Wikipedia

    en.wikipedia.org/wiki/Cluster_analysis

    Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some specific sense defined by the analyst) to each other than to those in other groups (clusters).

  6. Hierarchical clustering of networks - Wikipedia

    en.wikipedia.org/wiki/Hierarchical_clustering_of...

    The components at each iterative step are always a subset of other structures. Hence, the subsets can be represented using a tree diagram, or dendrogram. Horizontal slices of the tree at a given level indicate the communities that exist above and below a value of the weight.

  7. k-means clustering - Wikipedia

    en.wikipedia.org/wiki/K-means_clustering

    k-means clustering is a method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean (cluster centers or cluster centroid), serving as a prototype of the cluster.

  8. Determining the number of clusters in a data set - Wikipedia

    en.wikipedia.org/wiki/Determining_the_number_of...

    The average silhouette of the data is another useful criterion for assessing the natural number of clusters. The silhouette of a data instance is a measure of how closely it is matched to data within its cluster and how loosely it is matched to data of the neighboring cluster, i.e., the cluster whose average distance from the datum is lowest. [8]

  9. Category:Diagrams - Wikipedia

    en.wikipedia.org/wiki/Category:Diagrams

    S. Sankey diagram; Schematic; Schreinemaker's analysis; Seating plan; Sentence diagram; Shear and moment diagram; Shit flow diagram; Single-line diagram; Skew-T log-P diagram