Clustering Educational Digital Library Usage Data: Comparisons of Latent Class Analysis and K-Means Algorithms
There are common pitfalls and neglected areas when using clustering approaches to solve educational problems. A clustering algorithm is often used without the choice being justified. Few comparisons between a selected algorithm and a competing algorithm are presented, and results are presented witho...
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| Format: | Others |
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DigitalCommons@USU
2011
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| Online Access: | https://digitalcommons.usu.edu/etd/954 https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=1950&context=etd |