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Robust Unsupervised clustering METHOD FOR ESTIMATING ANALYTIC WEIGHT LEAST SQURARES BASED ON ROBUST FILTER UNSUPERVISED CLUSTERING
Robust Unsupervised clustering METHOD FOR ESTIMATING ANALYTIC WEIGHT LEAST SQURARES BASED ON ROBUST FILTER UNSUPERVISED CLUSTERING
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机译:基于鲁棒滤波非监督聚类的分析加权最小二乘的鲁棒无监督聚类方法
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摘要
An analytical weight least squares location estimation technique based on robust filters and unsupervised clusters is disclosed. A location estimation method performed by a location estimation apparatus according to an embodiment includes: performing unsupervised learning on an observation value obtained by estimating location information using a Gaussian mixture model; Deriving the weight as the unsupervised learning is performed; And estimating a positional parameter using a least-squares method based on the weight.
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