| 1. | Degree of data clustering with the index
使用索引的情况下数据群集的程度 |
| 2. | Improved fuzzy kernal algorithm for gene expression data clustering
基因表达数据聚类中模糊核算法的改进 |
| 3. | Cluster - pc based parallel distributed data clustering and its applications
基于集群的并行分布式聚类及其应用 |
| 4. | Then a new data clustering method based on pcnn is also presented , which is prospective and has a wide application
该方法构思新颖、适用范围广、具有广阔的应用前景。 |
| 5. | Association matrix between behavior and object is defined and subsystems are derived based on data clustering
定义了行为和对象的关联度矩阵，基于聚类方法确定信息系统子系统的建设需求。 |
| 6. | It first introduces the concept of data clustering and data classification . then it discusses eleven methods of cluster analysis
首先介绍聚类和分类的概念，然后讨论了十一种数据聚类方法。 |
| 7. | Furthermore we try to get a new approach by combining data clustering and outlier detection . discuss the sampling techniques frequently used in clustering and outlier detection
对聚类利异常检测算法中大量使用的采样技术进行了讨论，并提山了密度偏向的采样技术。 |
| 8. | Next an index system including 8 indexes to measure position knowledge amount is constructed , by which we performed classification on those positions by the statistical methods of data clustering and factor analysis
随后归纳出衡量一般岗位知识含量的体系的8个指标，用聚类和因子分析方法将各岗位按知识含量高低进行分级。 |
| 9. | In this paper , we do a lot of experiments on artificial data and real world data , and make a comparison with classical data clustering methods . the experimental results prove its great advantage over others
本文中，我们将它与传统的数据聚类方法分别对模拟数据和真实数据做以实验，并加以比较，证明了该方法优于传统方法，验证了它的优良性。 |
| 10. | After that , the thesis proposes a algorithm to seek the degree of the texture of a digital image . 3rd . it gives a new model for data clustering , " village - town " model and a clustering globally best algorithm based on genetic method
以待聚类数据集为对象从寻求全局最优配置入手，首次提出了基于遗传算法的聚类变精度搜索方案和基于点分布密度的类合并准则。 |
