Description: CLARA是基于k中心点的一种划分方法的实现，区别于别的划分方法，Clara是用于大规模分类运用方法的简称，可以实现对大规模数据的分类-CLARA(abbreviated from clustering large applications), is based on the k-medoid appraoch, which can be useful in clustering large data sets. Platform: |
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Author:林文 |
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Description: This paper presents a technique which is based on pattern recognition techniques, in order to estimate
Mobile Terminal (MT) velocity. The proposed technique applies on received signal strength (RSS) measurements
and more precisely on information extracted from Iub air interface, in wideband code-division multiple access
(WCDMA) systems for transmission control purposes. Pattern recognition is performed by Hidden Markov Model
(HMM), which is trained with downlink signal strength measurements for specific areas, employing Clustering
LARge Applications (CLARA) like a clustering method. Accurate results from a single probe vehicle show the
potential of the method, when applied to large scale of MTs. Platform: |
Size: 351232 |
Author:anna |
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