dynamic clustering meaning in Chinese
动态聚类
Examples
- Texture features are then extracted from these filters and passed into a dynamic clustering procedure , which is called visual similarity clustering . finally , text contents are located from the clustered results . benefit from this scheme , the algorithm demonstrates strong robustness and adaptability in a wide variety of documents , which previous traditional dla approaches do not possess
一般来说，人眼对一张文档图像所形成的第一印象，会倾向于对其中一些区域文字照片等等形成相似的感知结果，这些在视觉前期相似的内容，往往就是文档中内容独立的区域。 - Weightiness method is , ordering the crunodes through comparing the weightiness of the crunodes . the main idea of dynamic clustering method is as follow : firstly , regard all the crunodes of planning region as clustering analytic swatches ; secondly , classify di fferent kinds of crunodes according to certain criterion , which must have typical traits ; finally , sort the crunodes by type
而将动态聚类法应用于区域物流中心规划的基本思路是：先将规划区域中的所有结点视为聚类分析的样本：再按一定的标准将样本分为不同类，每一类具有典型的特征，最后根据需要按重要程度逐类选择结点。 - This paper first introduces the data mining and data warehouse ' s knowledge , including the relation of data mining and data warehouse and the connection of olap and statistics , then puts the data mining pattern and the data mining process model in detail . it addresses the dynamic cluster arithmetic and preprocess data by the primary component analysis arithmetic , then improves the dynamic cluster arithmetic
本文首先介绍数据挖掘和数据仓库的相关知识，包括数据挖掘与数据仓库、联机分析处理、统计学之间的关系，接着详细论述了数据挖掘模式和数据挖掘过程模型，重点讨论了聚类模式中的动态聚类算法，并采用主成分分析法预处理数据，在此基础上提出了动态聚类的改进算法。 - This paper in turn introduces correlative knowledge on case description and a object oriented representation , the aim , tenet of casebase organizing and index and a organizing and index method using dynamic clustering , several typical case retrieval methods , the acquirement of adjustment knowledge , the classification of adjustment methods and a transform adjustment model , evaluate method of new case and learning and maintenance of casebase etc . moreover this paper also stressed discusses two central problem in case retrieval : the setting of property weight and the assignment of local similar degree between property values
本文依次介绍了案例表示的相关知识及一种面向对象的表示方法，案例库组织索引的目标、原则及采用动态聚类进行组织索引的方法，几种典型的案例检索方法，案例调整知识的获取、调整方法的分类及一个转换式调整模型，新案例的评估方法及案例库的学习与维护等。此外，对于案例检索过程中的两个重要问题，属性权重的设置和属性值间局部相似度的赋值问题作了重点讨论。 - Selecting some clear _ sky modis data of beijing , using multispetral images of 250m , land cover around beijing was analyzed . an unsupervised dynamic clustering experimentation was done using isodata method . the result shows that the modis multispectral data has some capacities of distinguishing land cover types
挑选部分上半年北京地区modis资料，利用多维光谱信息对北京及其周边地区250m分辨率的图像做了陆表覆盖分析，应用isodata算法进行了非监督动态聚类试验，取得了一定效果，证明modis多光谱波段对地物具有一定的识别能力。