A Novel Lattice Vector Quantization Utilizing Division Table Extension 一种基于分裂表扩展的格型矢量量化新方法
A heuristic algorithm is presented to search discretization lattice. The simulating experiments illustrate that this algorithm can find a consistent decision information table with less cut points than two solutions in references. 提出一种搜索离散格的启发式算法,实验表明该算法得到的一致决策表的断点数比已有解更少。
One realization method of Godin algorithm based on linked list structure is presented. Concept lattice node is organized as linked list structure, which helps to quickly search the child node by using indexed table. Accordingly, the time-efficiency of concept lattice incremental construction is improved. 给出了一种基于链表结构的Godin算法实现方法,该方法采用链表结构组织格结点,并利用索引表,实现了对概念格子结点的快速查找,提高了概念格渐进式构造的效率。
CTnI serum myocardial enzyme concentration and compares the indices; t test Electrocardiogram counting material adopted four lattice χ 2 inspection table. cTnI血清浓度及心肌酶谱相应指标比较采用t检验;心电图计数资料采用四格表χ2检验。