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  2. Complete-linkage clustering - Wikipedia

    en.wikipedia.org/wiki/Complete-linkage_clustering

    The clusters are then sequentially combined into larger clusters until all elements end up being in the same cluster. The method is also known as farthest neighbour clustering. The result of the clustering can be visualized as a dendrogram, which shows the sequence of cluster fusion and the distance at which each fusion took place. [1] [2] [3]

  3. Cluster analysis - Wikipedia

    en.wikipedia.org/wiki/Cluster_analysis

    The inter-cluster distance d(i,j) between two clusters may be any number of distance measures, such as the distance between the centroids of the clusters. Similarly, the intra-cluster distance d '(k) may be measured in a variety of ways, such as the maximal distance between any pair of elements in cluster k. Since internal criterion seek ...

  4. Crochet - Wikipedia

    en.wikipedia.org/wiki/Crochet

    Crochet (English: / k r oʊ ˈ ʃ eɪ /; [1] French: [2]) is a process of creating textiles by using a crochet hook to interlock loops of yarn, thread, or strands of other materials. [3] The name is derived from the French term crochet, which means 'hook'. [4]

  5. Silhouette (clustering) - Wikipedia

    en.wikipedia.org/wiki/Silhouette_(clustering)

    If there are too many or too few clusters, as may occur when a poor choice of is used in the clustering algorithm (e.g., k-means), some of the clusters will typically display much narrower silhouettes than the rest. Thus silhouette plots and means may be used to determine the natural number of clusters within a dataset.

  6. Hierarchical clustering - Wikipedia

    en.wikipedia.org/wiki/Hierarchical_clustering

    The first step is to determine which elements to merge in a cluster. Usually, we want to take the two closest elements, according to the chosen distance. Optionally, one can also construct a distance matrix at this stage, where the number in the i -th row j -th column is the distance between the i -th and j -th elements.

  7. Small-world network - Wikipedia

    en.wikipedia.org/wiki/Small-world_network

    Specifically, a small-world network is defined to be a network where the typical distance L between two randomly chosen nodes (the number of steps required) grows proportionally to the logarithm of the number of nodes N in the network, that is: [2] ⁡ while the global clustering coefficient is not small.

  8. Star cluster - Wikipedia

    en.wikipedia.org/wiki/Star_cluster

    Star clusters are large groups of stars held together by self-gravitation. Two main types of star clusters can be distinguished. Two main types of star clusters can be distinguished. Globular clusters are tight groups of ten thousand to millions of old stars which are gravitationally bound.

  9. Facial composite - Wikipedia

    en.wikipedia.org/wiki/Facial_composite

    While the classic use of the facial composite is the citizen recognizing the face as an acquaintance, there are other ways where a facial composite can prove useful. The facial composite can contribute in law enforcement in a number of ways: Identifying the suspect in a wanted poster. Additional evidence against a suspect. [citation needed]