An EM algorithm for GMM parameter estimation in the presence of censored and dropped data with potential application for indoor positioning
In this paper, a specific type of incomplete data in Wi-Fi fingerprinting based indoor positioning systems (WF-IPS) is presented: censored and dropped mixture data. For fitting this type of data, a censored and dropped Gaussian Mixture Model (CD-GMM) was proposed. Further, an extended version of the...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2019-06-01
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| Series: | ICT Express |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405959518303746 |