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  2. Complete linkage - Wikipedia

    en.wikipedia.org/wiki/Complete_linkage

    In complete-linkage Hierarchical Clustering, this process of combining data points into clusters of increasing size is repeated until all date as part of a single cluster. [6] The resulting diagram from a Hierarchical Cluster Analysis is called a dendrogram, in which data are nested into brackets of increasing dissimilarity. Two common issues ...

  3. Single-linkage clustering - Wikipedia

    en.wikipedia.org/wiki/Single-linkage_clustering

    However, in single linkage clustering, the order in which clusters are formed is important, while for minimum spanning trees what matters is the set of pairs of points that form distances chosen by the algorithm. Alternative linkage schemes include complete linkage clustering, average linkage clustering (UPGMA and WPGMA), and Ward's method. In ...

  4. Complete-linkage clustering - Wikipedia

    en.wikipedia.org/wiki/Complete-linkage_clustering

    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 ...

  5. Hierarchical clustering - Wikipedia

    en.wikipedia.org/wiki/Hierarchical_clustering

    For example, complete-linkage tends to produce more spherical clusters than single-linkage. The linkage criterion determines the distance between sets of observations as a function of the pairwise distances between observations. Some commonly used linkage criteria between two sets of observations A and B and a distance d are: [5] [6]

  6. UPGMA - Wikipedia

    en.wikipedia.org/wiki/UPGMA

    Alternative linkage schemes include single linkage clustering, complete linkage clustering, and WPGMA average linkage clustering. Implementing a different linkage is simply a matter of using a different formula to calculate inter-cluster distances during the distance matrix update steps of the above algorithm.

  7. Nearest-neighbor chain algorithm - Wikipedia

    en.wikipedia.org/wiki/Nearest-neighbor_chain...

    As with complete linkage and average distance, the difficulty of calculating cluster distances causes the nearest-neighbor chain algorithm to take time and space O(n 2) to compute the single-linkage clustering. However, the single-linkage clustering can be found more efficiently by an alternative algorithm that computes the minimum spanning ...

  8. Ecological network - Wikipedia

    en.wikipedia.org/wiki/Ecological_network

    Complexity (linkage density): the average number of links per species. Explaining the observed high levels of complexity in ecosystems [1] has been one of the main challenges and motivations for ecological network analysis, since early theory predicted that complexity should lead to instability. [2]

  9. Genetic linkage - Wikipedia

    en.wikipedia.org/wiki/Genetic_linkage

    Genetic linkage is the tendency of DNA sequences that are close together on a chromosome to be inherited together during the meiosis phase of sexual reproduction.Two genetic markers that are physically near to each other are unlikely to be separated onto different chromatids during chromosomal crossover, and are therefore said to be more linked than markers that are far apart.