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Uainishaji wa K-means

K-means ni algorithmu ya kawaida isiyo na msimamizi inayogawanya seti ya data katika vikundi K visivyoingiliana kwa kupeana kila uchunguzi kwa centroid yake iliyo karibu zaidi na kusasisha centroids kama wastani wa alama zao zilizopewa. Ni moja ya zana za uchunguzi zinazotumiwa sana katika akili bandia na uchambuzi wa data.

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Uainishaji wa K-means
DBSCANNgeli ya Kiwango cha Juu…Uchanganuzi wa Vipengele…t-SNEAlgoriti ya AprioriSheria za UunganishajiAutoencoderMuundo wa Mchanganyiko w…BIRCHUlinganifu wa Kati wa DTW

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Vyanzo

  1. Lloyd, S. P. (1982). Least squares quantization in PCM. IEEE Transactions on Information Theory, 28(2), 129–137. DOI: 10.1109/TIT.1982.1056489 ↗
  2. MacQueen, J. B. (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 3). K-means Clustering Algorithm. ScholarGate. https://scholargate.app/sw/machine-learning/k-means

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Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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Imerejelewa na

Algoriti ya AprioriSheria za UunganishajiAutoencoderMuundo wa Mchanganyiko wa Gaussian wa BayesianBIRCHUlinganifu wa Kati wa DTWEnsemble HDBSCANEnsemble K-meansDBSCAN InayoelewekaMean ShiftMchanganyiko wa Gaussian mtandaoniMuundo wa Gaussian Mixture UlioimarishwaUwekaji K-Means UlioimarishwaMfumo Imara wa Mchanganyiko wa GaussianRobust HDBSCANRobust k-meansDBSCAN inayojifundishaK-means chenye kujisomeshaDBSCAN yenye usimamizi-nusuHDBSCAN yenye usimamizi nusuK-means Nusu-SimamiwaUkusanyaji wa Kikundi kwa Njia ya Spektra (Spectral Clustering)UMAP

Umeona tatizo kwenye ukurasa huu? Ripoti au pendekeza marekebisho →

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