This paper also develops a fuzzy competitive learning scheme for these new referencevector parameters, and applies the algorithm to the difficult task of clustering documents.
针对新的参考向量开发了模糊竞争学习模式,并用该算法成功地解决了文献聚类的难题。
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Gauss-Newton error minimization is used to transform six-dimentional referencevector to quaternion as a part of observations for EKF, which significantly reduces the computational requirement.
Data: An object; a generic reference that is carried along to listeners; often a collection class (such as a Vector or Hashtable) or a customized data object.