Parameter Estimation for Latent Class Models via K-means and Hierarchical Procedures
碩士 === 國立交通大學 === 統計學研究所 === 95 === The aim of the study is to estimate the parameters of the latent class models via clustering methods. We use k-means and hierarchical ideas of clustering methods with the correlation (or covariance) among items as the distance measure to group objects such that, f...
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Format: | Others |
Language: | en_US |
Published: |
2007
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Online Access: | http://ndltd.ncl.edu.tw/handle/96260380305817809778 |