TīmeklisThe algorithm of Hartigan and Wong (1979) is used by default. Note that some authors use k-means to refer to a specific algorithm rather than the general method: most commonly the algorithm given by MacQueen (1967) but sometimes that given by Lloyd (1957) and Forgy (1965). The Hartigan–Wong algorithm generally does a better job … TīmeklisOther applications of different multivariate statistical techniques are cluster analysis (Forgy, 1965) and correspondence analysis which, for example, have been used to explore how the potential ...
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Tīmeklisbelonged to a cluster with the nearest mean (Forgy, 1965). Fifty lines were detected representing 50 clusters. However, about half the lines were not active in the Monsanto breeding germplasm pool, in which case, next best related line to the missing line was selected. Seven more lines were added to the selected 50 lines to capture additional http://www.modulad.fr/dac/Slides/Bock/Ahistoryofthek-means.pdf fruher german to english
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Tīmeklis1999. gada 1. okt. · Forgy Approach (FA) proposed by Forgy in 1965 (see Anderberg, 1973), choose K instances of the database (seeds) at random and assign the rest of the instances to the cluster represented by the nearest seed, • Macqueen Approach (MA) proposed by MacQueen (1967), choose K instances of the database (seeds) at random. Tīmeklis2010. gada 15. jūn. · The algorithm of Hartigan and Wong (1979) is used by default. Note that some authors use k-means to refer to a specific algorithm rather than the general method: most commonly the algorithm given by MacQueen (1967) but sometimes that given by Lloyd (1957) and Forgy (1965). TīmeklisNote that some authors use k-means to refer to a specific algorithm rather than the general method: most commonly the algorithm given by MacQueen (1967) but sometimes that given by Lloyd (1957) and Forgy (1965). fruhe hominiden