@article{oai:nagasaki-u.repo.nii.ac.jp:00015429,
 author = {今村, 弘樹 and 藤村, 誠 and 黒田, 英夫},
 issue = {7},
 journal = {映像情報メディア学会誌, The Journal of The Institute of Image Information and Television Engineers},
 month = {Jul},
 note = {A method is proposed for clustering data that results in more accurate clustering when clusters are close to each other. The method takes into account the continuity of the data by using a self-organizing map showing the separation and combination of code vectors. Using this map reduces the dependence of fitting of code vectors. The proposed method can be thus used to obtain accurate clustering., 映像情報メディア学会誌, 63(7), pp.991-998; 2009},
 pages = {991--998},
 title = {コードベクトルの分離・結合を考慮した自己組織化マップに基づくクラスタリング手法},
 volume = {63},
 year = {2009}
}