计算机集成制造系统
計算機集成製造繫統
계산궤집성제조계통
COMPUTER INTEGRATED MANUFACTURING SYSTEMS
2010年
3期
502-506
,共5页
李健%莫蓉%石源%苏媛媛%郑丹晨
李健%莫蓉%石源%囌媛媛%鄭丹晨
리건%막용%석원%소원원%정단신
特征提取%预处理%类原型%聚类模型%三维模型%聚类算法
特徵提取%預處理%類原型%聚類模型%三維模型%聚類算法
특정제취%예처리%류원형%취류모형%삼유모형%취류산법
feature extraction%pretreatment%clustering prototype%clustering model%three-dimensional model%clustering algorithm
针对实际应用中三维模型数据集的模型分类管理、检索聚类预处理等聚类问题,提出了一种基于划分方法的无监督聚类模型.该模型通过以傅里叶矩不变算法为基础的特征提取算法,综合运用了现有聚类算法,将特征提取和聚类计算有效结合起来,充分考虑了聚类模型数据格式的敏感性问题.计算结果表明,该方法对有一定类结构的数据集在有整体聚类效果的情况下有一定的局部最优性.
針對實際應用中三維模型數據集的模型分類管理、檢索聚類預處理等聚類問題,提齣瞭一種基于劃分方法的無鑑督聚類模型.該模型通過以傅裏葉矩不變算法為基礎的特徵提取算法,綜閤運用瞭現有聚類算法,將特徵提取和聚類計算有效結閤起來,充分攷慮瞭聚類模型數據格式的敏感性問題.計算結果錶明,該方法對有一定類結構的數據集在有整體聚類效果的情況下有一定的跼部最優性.
침대실제응용중삼유모형수거집적모형분류관리、검색취류예처리등취류문제,제출료일충기우화분방법적무감독취류모형.해모형통과이부리협구불변산법위기출적특정제취산법,종합운용료현유취류산법,장특정제취화취류계산유효결합기래,충분고필료취류모형수거격식적민감성문제.계산결과표명,해방법대유일정류결구적수거집재유정체취류효과적정황하유일정적국부최우성.
In view of the practical application problems in three-dimensional model data sets clustering,such as model classification management,the clustering pretreatment for retrieval,etc,a new clustering model based on the classification method and which was featured by unsupervised learning,was proposed.Through adopting feature extraction algorithm grounded on the MFD (Moment Fourier Description) and integrating the existing sophisticated clustering algorithms,this model combined feature extraction with clustering computation effectively,besides taking full considerations of sensitivity issues of clustering data format.The compuatation results indicated that this model could gain local optimality to the certain classified structure data sets on the premise of having overall clustering effect.
