聚点

Secondly, the analytic expressions of the error band boundary line for the s model of line segment are deduced, the parameter equations of the error band boundary are gotten.

考虑实用性和合理性，将线元看成离散点的集合，将线的不确定性看成点的不确定性的聚合体，将线元的位置不确定性模型看成以各点误差椭圆的长半轴E为半径的误差圆的聚合体，建立了以线元上任意点处的误差椭圆的长半轴E为带宽的线元不确定性ε模型。

Not only M is a clothing brand, she is the GAL girls in China's limiting point.

M不光是一个服装品牌，她是GAL 女孩们在中国的聚点。

It also acquires the lower and upper approximation regions of all clustering kernels based on rough set theory,and achieves the explicit object-dividing method by means of their neighborhood system.

依据对象聚类邻域确定聚类数量和聚类核，以及对象的粗糙近似划分，使得聚类具有密度自适应和孤点不敏感的特点，取样分析有效提高了算法效率。

The results revealed that in Shanghai,the epiphytic bryophytes of trees could be clustered into four quadrat groups.

结果表明，上海市树附生苔藓植物可聚类为4个样点组：样点组Ⅰ为7个样点，6个位于市中心，共有树附生苔藓16种，总盖度为12.43%；样点组Ⅱ为市郊样地年龄较年轻的4个样点，共有树附生苔藓11种，总盖度最小为8.47%；样点组Ⅲ为市郊6个样点，共有树附生苔藓33种，总盖度为25.82%；样点组Ⅳ为佘山自然保护区一处，共有树附生苔藓10种，总盖度为26.42%。

Under the strict complementaritycondition at the accumalation points of the sequence of iterations, the global convergenceof the algorithm is proved.

由此建立了一种基于SQP方法的新算法，且在迭代序列的聚点满足非退化假设条件下，获得了算法的全局收敛性。

The biomechanical tests showed that two kinds of artificial bones had not significant difference on compressive strength and Young\'s modulus(P＞0.05),while the flexural strength of nano-nacre artificial bone was less than the control group(P＜0.05).3.The results of CCK-8 showed that the difference were not significant in each group,the proliferation of osteoblast reached the peak at the 5th day;7 days after being co-cultured,the total protein content of study group was higher than control group and blank group(P＜0.05),while the difference between control group and blank group was not significantP＞0.05The difference of alkaline phosphatase activities among three groups was not significant(P＞0.05The SEM view showed that osteoblast attached and grew well in two kinds of artificial bone.4.X-ray photography showed that two kinds of powder started to degrade in 2 weeks;this phenomenon became more appear in 4 weeks,nano-nacre powder degraded faster than micron-nacre powder,while the hole shadow was easy to be found;in 8 weeks,all the femoral holes recovered and returned to normal bone mineral density in all groups.Analysis of tetracycline fluorescent double marks in the hard tissue grinding slices indicated that new bone grew fastest around the bone defect area in study group,while most slowly in blank groupP＜0.05 SEM(scanning electron microscope observation showed that nano-nacre powder degraded more quickly.The same result can be found through the demineralized sections morphometric analysis,and both of the composite artificial bones made from those two kinds of nacre powder had the good connection with the adjacent tissue in rats body without apparent inflammatory response.5.X-ray photography showed that rabbit\'s bone defects healed faster in study group since NNAB implanted than in control group since MNAB implanted.At 24 weeks after operation,bone density in radial defects had nearly accessed to the normal area,while lower in control group,and turned up nonunion in blank group;The checking of BMD showed that results in study group were higher than those in control group at 8,16 and 24 week(P＜0.05), and the difference between the BMD values in study group at 24 week and those in blank group was not significant(P＞0.05).The gross specimens showed satisfactory histocompatibility both in study group and in control group,with bone tissue growing from two sides into the center of implanted materials; Normal slices in HE stain and hard tissue grinding slices in Stevenel\'s blue/Van Geison\'s picro-fuchsin stain showed that the bone growth tendency was better in study group than that in control group,and the medullary cavity had been penetrated to the implanted materials in study group at 24 week;Analysis of tetracycline fluorescent double marks in the hard tissue grinding slices indicated that new bone in both groups grew fastest 8 weeks after surgery,while slow down at 16 week.

纳米珍珠层/消旋聚乳酸复合人工骨与微米珍珠层/消旋聚乳酸复合人工骨分别与成骨细胞共培养后，其各时间点CCK-8法检测值与空白对照无显著差异(P＞0.05)，成骨细胞均在第5天达到增殖高峰期；培养7天后，实验组细胞蛋白含量高于对照组及空白组(P＜0.05)，后两者之间则无显著差异P＞0.05碱性磷酸酶活性在三组间均无显著差异(P＞0.05电镜下可见成骨细胞在两种人工骨上都有良好生长贴附能力。4.X-ray显示两种粉体在大鼠股骨骨洞植入第2周时都开始出现了降解，第4周时更为明显，纳米珍珠层粉较之微米珍珠层粉降解更快，而空白对照组骨洞阴影仍可见，至8周时，则所有组骨洞均己闭合修复，X-ray下已不可见原钻孔痕迹，恢复正常骨质密度；硬组织磨片四环素荧光双标记结果显示纳米珍珠层粉植入组较其余两组在骨缺损区周围新骨生长速度更快，空白组速度最慢P＜0.05电镜观察及常规脱钙切片亦可见到纳米粉体降解较快；由以上两种原材料制得的纳米珍珠层/消旋聚乳酸复合人工骨与微米珍珠层/消旋聚乳酸复合人工骨在大鼠体内均与周围组织结合良好，无明显炎症反应。5.X-ray显示纳米珍珠层/消旋聚乳酸复合人工骨植入兔桡骨缺损区后其骨愈合速度较对照组微米珍珠层/消旋聚乳酸复合人工骨植入的快，至植入术后24周，实验组骨缺损区接近正常骨密度，对照组骨缺损区密度较低，空白组则呈现骨不连状态；骨密度测量结果显示术后8周、16周、24周实验组的骨密度值高于对照组(P＜0.05，24周实验组的骨密度值与术前所测得的正常值无显著性差异P＞0.05动物取材大体所见均显示组织相容性良好，骨组织逐渐由植入材料两端向中央生长；常规切片HE染色及硬组织磨片Stevenel\'s blue/Van Geison\'s picro-fuchsin联合染色均可见实验组骨缺损区长势优于对照组，至术后24周，实验组骨髓腔与材料已呈相交通状；硬组织磨片荧光显微镜下观察，两组材料在术后8周处于骨生长最快速时期，16周时速度开始减慢，术后4、8、16周时实验组的新骨生长速度均较对照组的快

For contrast experiments, k-means and DBSCAN algorithms are also implemented using Visual C++ 6. 0. We conducted a series of experiments, including the experiment of the correctness of clustering and outlier detection, the experiment of the precision of clustering and outlier detection. The experiment of the runtime, the experiment of the effect of clustering and outlier detection on parameters, the experiment of the impact of clustering and outlier detection precision by the order of data input, and the experiment of the effect of the algorithm validness by the density character of dataset.

本文使用Visual C++ 6.0实现了基于距离的聚类和孤立点检测算法、k-means算法和DBSCAN算法，做了大量的对比实验，包括聚类算法和孤立点检测正确性实验；聚类算法和孤立点检测精度实验；算法执行时间实验；参数对聚类和孤立点检测结果的影响实验；数据输入顺序对算法聚类和孤立点精度的影响实验；数据集密度对算法有效性的影响等。

Automatic color transfer effectively solves this issue. Carve up Roseau and subtractive clustering is applied in this paper. Completely automatic algorithm implementation is realized. In clustering, pixels are selected according to their brightness, and those with larger data density are cluster to sample block. First of colors in the same block are transferred first, others are transferred later.

本文将网格划分减法聚类应用到颜色迁移中，完全实现算法的自动化，聚类方法按照亮度值的大小依次聚类，从各个聚类域中提取出数据点密度较大的像素点集组成样本块，首先对每个样本块间进行颜色迁移，再完成样本块以外的其他像素的颜色迁移。

Because there are the characteristics of uncertainty and mixing meta-pixels in the remote-sensing images, the classical fuzzy c-means method has a low accuracy in the remote-sensing image clustering. This paper improves the fuzzy c-means method. And it adds a-priori information into the patterns to change the method as a semi-supervised clustering. In the clustering process, the unlabelled patterns compare similarities with the labeled patterns, and then the accuracy of the algorithm can be increased.(3)The paper proposes an interactive learning-based image mining in remote sensing.

由于遥感图像各类别在特征空间中散点图的分布的特点，本文对传统的FCM聚类算法进行改进，并且加入先验信息之后，将原来的非监督的聚类变成一种半监督的聚类方法，通过与已标签的样本进行相似性比较，能有效地提高聚类算法的准确度。

So it is obvious that outputs are especially sensitive to initial starting condition for random selections about K initial starting points, which will lead to bad solutions, so the quality of cluster relys on the initial starting ponts.

但是由于K-means算法在选择初始聚类中心时是随机选取K个点，因此一旦这K个点选取不合理，将会误导聚类过程，得到一个不合理的聚类结果。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。