Cite
An analysis of multi-dimensional data containing emphasized items by self-organizing map and its application to sightseeing information analysis
MLA
Hideaki Itoh, et al. “An Analysis of Multi-Dimensional Data Containing Emphasized Items by Self-Organizing Map and Its Application to Sightseeing Information Analysis.” Soft Computing, vol. 21, Jan. 2016, pp. 3345–52. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi...........5d2fa7ec36c89d3b906af522e159c020&authtype=sso&custid=ns315887.
APA
Hideaki Itoh, Yu Horinouchi, Hisao Fukumoto, Hiroshi Wakuya, & Tatsuya Furukawa. (2016). An analysis of multi-dimensional data containing emphasized items by self-organizing map and its application to sightseeing information analysis. Soft Computing, 21, 3345–3352.
Chicago
Hideaki Itoh, Yu Horinouchi, Hisao Fukumoto, Hiroshi Wakuya, and Tatsuya Furukawa. 2016. “An Analysis of Multi-Dimensional Data Containing Emphasized Items by Self-Organizing Map and Its Application to Sightseeing Information Analysis.” Soft Computing 21 (January): 3345–52. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi...........5d2fa7ec36c89d3b906af522e159c020&authtype=sso&custid=ns315887.