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Machine learning

K-Means Clustering

K-Means Clustering ni algorithmu ya kugawanya data katika makundi kulingana na vituo (centroid-based partitional clustering algorithm), iliyoanzia kwa J. MacQueen mwaka 1967, ambayo hugawanya data katika makundi k kwa kuweka kila kipimo kwa kituo cha kundi kilicho karibu zaidi. Inatumika sana kwa ajili ya kugawanya wateja sokoni, kuweka wateja katika vikundi, na uchambuzi wa uchunguzi.

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K-Means Clustering
Ngeli ya Kiwango cha Juu…Uchambuzi wa Utenganisha…Msitu NasibuUpangaji wa Uenezaji wa…Uchimbaji wa Kanuni za C…Muundo wa Mchanganyiko w…Muundo wa Gaussian Mixtu…Explainable K-MeansFP-Growth (Frequent Patt…Uainishaji wa C-Means Un…

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Vyanzo

  1. MacQueen, J. (1967). Some Methods for Classification and Analysis of Multivariate Observations. Proceedings of the 5th Berkeley Symposium on Mathematical Statistics and Probability, 1, 281–297. link ↗

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 1). K-Means Clustering (Lloyd–MacQueen Algorithm). ScholarGate. https://scholargate.app/sw/machine-learning/k-means-clustering

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Imerejelewa na

Upangaji wa Uenezaji wa UkaribuUchimbaji wa Kanuni za Chama (Apriori)Muundo wa Mchanganyiko wa Gaussian wa EnsembleMuundo wa Gaussian Mixture unaoelezekaExplainable K-MeansFP-Growth (Frequent Pattern Growth)Uainishaji wa C-Means Unaochagua (FCM)Uhesabuji wa Nafaka (Uundaji wa Nafaka wa Taarifa)Uchambuzi wa Latent Dirichlet (LDA)Uchanganuzi wa Matrix Usio-na-Hasara (NMF)K-means mtandaoniRamani inayojipanga Yenyewe (Ramani ya Kohonen)Stochastic Block Model

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ScholarGate — K-Means Clustering (K-Means Clustering (Lloyd–MacQueen Algorithm)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/machine-learning/k-means-clustering · Seti ya data: https://doi.org/10.5281/zenodo.20539026