نتایج جستجو برای: k modes
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In data mining, the input of most algorithms is a set of n objects and each object is described by a feature vector. However, in many real database applications, an object is described by more than one feature vector. In this paper, we call an object described by more than one feature vector as a matrix-object and a data set consisting of matrix-objects as a matrix-object data set. We propose a...
An ion beam propagating through a magnetized plasma cylinder containing electrons, light positive potassium ions K+ , and heavy positive cesium ions Cs+ drives electrostatic ion cyclotron EIC waves to instability via Cerenkov interaction. Two EIC wave modes are present, the K+ and Cs+ modes. The unstable wave frequencies and the growth rate of both the light positive ion and heavy positive ion ...
The B → D(∗)K−K(∗)0 decays have been observed for the first time. The branching fractions of theB → D(∗)K−K(∗)0 decay modes are measured. Significant signals are found for the B → D(∗)K−K∗0 and B → D0K−K0 S decay modes. The invariant mass and polarization distributions for the K−K∗0 and K−K0 S subsystems have been studied. For the K−K∗0 sybsystem these distributions agree well with those expect...
T he leading par tit ional clustering technique, K Modes, is one of the most computationally eff icient clustering methods fo r categ orical data. In the t raditional K Modes algo rithm, the simple matching dissim ilarity measure is used to compute the distance betw een two values of the same catego rical at t ributes. T his compares tw o categorical v alues directly and results in either a dif...
In this paper, we propose a fuzzy SVk -modes algorithm that uses the fuzzy k -modes clustering process to cluster categorical data with set-valued attributes. In the proposed algorithm, we use Jaccard coefficient to measure the dissimilarity between two objects and represent the center of a cluster with set-valued modes. A heuristic update way of cluster prototype is developed for the fuzzy par...
Abstract. Suppose that A ∈ RN×N is symmetric positive semidefinite with rank K ≤ N . Our goal is to decompose A into K rank-one matrices ∑K k=1 gkg T k where the modes {gk} K k=1 are required to be as sparse as possible. In contrast to eigendecomposition, these sparse modes are not required to be orthogonal. Such a problem arises in random field parametrization where A is the covariance functio...
In this paper, by using a quantum hydrodynamic plasma model which incorporates the important quantum statistical pressure and electron diffraction force, we present the corrected plasmon dispersion relation for graphene which includes a k quantum term arising from the collective electron density wave interference effects (which is integer and constant and k is wave vector). The longitudinal ...
A brief overview of flavour-symmetry strategies to extract the angle γ of the unitarity triangle is given, focusing on B → πK modes and the Bd → π+π−, Bs → K+K− system. We discuss also a variant of the latter approach for the e+e− B-factories, where Bs → K+K− is replaced by Bd → πK. Contribution to the Proceedings of the Workshop on the CKM Unitarity Triangle, CERN, Geneva, 13–16 February 2002 ...
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