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k-means clustering algorithm  (PhaseSpace Inc)

 
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    PhaseSpace Inc k-means clustering algorithm
    K Means Clustering Algorithm, supplied by PhaseSpace Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/k-means+clustering+algorithm/k+means+clustering+algorithm/pm29677446-75-57-13
    Average 90 stars, based on 1 article reviews
    k-means clustering algorithm - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Classical Optimal Control for Energy Minimization Based On Diffeomorphic Modulation under Observable-Response-Preserving Homotopy.
    Article Snippet: The clusters are determined by the k- means clustering algorithm, using the Euclidean phase-space distance to the center of each cluster as the classification measure.89–91 Calculations based on a swarm of trajectories initialized on a 256×256 grid were compared to Monte Carlo simulations with 256 initial conditions sampled by the Box-Muller algorithm.96 For the implementation of the k-means clustering algorithm, the number of clusters k was determined through the entropy maximization method97,98 in which the number of clusters k is chosen to maximize the entropy, S(k) =− k ∑ I=1 B ∑ J=1 PI(J) logPI(J), (18) where PI(J) is the probability that a particle in cluster I is in bin J.

    Article Title: Classical Optimal Control for Energy Minimization Based On Diffeomorphic Modulation under Observable-Response-Preserving Homotopy.
    Article Snippet: We have compared benchmark grid-based implementations (i.e., by propagating the amplitudes of the den- sitiy of states on a phase-space grid in the Eulerian frame) to implementations based on classical trajectories in the Lagrangian frame with time-evolved density of states approximated by a single- Gaussian or a multiple-Gaussian ansatz generated by the k-means clustering algorithm.



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