| 查看: 1158 | 回复: 5 | ||
| 本帖产生 1 个 翻译EPI ，点击这里进行查看 | ||
| 当前只显示满足指定条件的回帖，点击这里查看本话题的所有回帖 | ||
[求助]
摘要翻译
|
||
|
摘要 本文讨论多维数据对象的有序聚类问题. 本文融合了样本几何轮廓相似度（SGSD）算法和k-均值聚类算法，构造出“SGSD有序聚类算法”，给出了算法的一个实证分析，并同参考文献中关于用例数据的其它算法的聚类结果进行了比较. 结果表明：本文算法将多维数据对象映射为一维结构时信息分辨率高，且不依赖数据集之外的先验知识和专家经验，实证结论符合实际情况. 翻译的英语帮忙改一下啊 Abstract:This paper discusses the problems on the ordered clustering algorithm for multidimensional data objects. Combining the sample geometry similarity algorithm (SGSD) and the k-means clustering algorithm, the SGSD ordered clustering algorithm is proposed, and exampled. And compares with the results of other references which use the same datas. The conclusion shows that,when the algorithm maps the multidimensional data object for one dimensional,the information resolution is high. it does’t depend on the datas set of prior knowledges and expert experiences which is outside the datas set ,the empirical conclusion of the algorithm conforms to the actual. |
回复此楼» 猜你喜欢
又一批高校组建人工智能学院 师资行吗 不是骗人吗
已经有7人回复
-
国自然面上和省基金B类撒花
已经有18人回复
-
有没有学校收留
已经有3人回复
-
312求调剂
已经有3人回复
-
华师大读博
已经有5人回复
-
急需审稿人！！！
已经有3人回复
-
申博/考博
已经有8人回复
-
295分求调剂
已经有6人回复
-
085600材料与化工调剂
已经有6人回复
-
有没有接收比较快的sci期刊呀，最好在一个月之内的，研三孩子求毕业
已经有7人回复
stingdhk
铁杆木虫 (著名写手)
- 翻译EPI: 10
- 应助: 203 (大学生)
- 金币: 9338.7
- 散金: 186
- 红花: 30
- 沙发: 29
- 帖子: 2889
- 在线: 533.1小时
- 虫号: 2153810
- 注册: 2012-11-28
- 性别: MM
- 专业: 药物分析
4楼2013-11-08 10:26:35
befair
铁杆木虫 (正式写手)
- 翻译EPI: 112
- 应助: 131 (高中生)
- 金币: 12350.8
- 红花: 20
- 帖子: 661
- 在线: 608.8小时
- 虫号: 2651461
- 注册: 2013-09-13
- 性别: GG
- 专业: 宏观经济管理与战略
【答案】应助回帖
★ ★ ★
RXMCDM: 2013-12-30 21:45:29
lidongze(RXMCDM代发): 金币+3, 多谢应助！ 2013-12-30 21:45:57
RXMCDM: 2013-12-30 21:45:29
lidongze(RXMCDM代发): 金币+3, 多谢应助！ 2013-12-30 21:45:57
|
浅见： Abstract:This paper discusses some topics related to the ordered clustering algorithm for multidimensional data objects. Integrating the sample geometry similarity algorithm (SGSD) and the k-means clustering algorithm, the SGSD ordered clustering algorithm is proposed and an example is given. Comparison is made with results in the references using other algorithms on the same data. The results show that, the resolution is high when using the newly proposed algorithm to map multidimensional data object onto one dimensional one. Moreover, the approach does not rely on any prior knowledge or expert experience than the data set itself and the the example shows a good agreement with the actual case. |
2楼2013-11-07 22:28:17
phu_grassman
荣誉版主 (知名作家)
快乐岛、布吉岛岛主
- 翻译EPI: 265
- 应助: 7 (幼儿园)
- 贵宾: 1.392
- 金币: 7538.7
- 散金: 11599
- 红花: 107
- 沙发: 11
- 帖子: 5611
- 在线: 1480.2小时
- 虫号: 1151372
- 注册: 2010-11-20
- 专业: 电化学
- 管辖: English Cafe
【答案】应助回帖
★ ★ ★ ★ ★ ★ ★ ★ ★ ★
lidongze(RXMCDM代发): 金币+10, 最佳答案！ 2013-12-30 21:45:14
RXMCDM: 翻译EPI+1 2013-12-30 21:45:20
lidongze(RXMCDM代发): 金币+10, 最佳答案！ 2013-12-30 21:45:14
RXMCDM: 翻译EPI+1 2013-12-30 21:45:20
| Abstract: Ordered clustering algorithm was discussed for multidimensional data objects in this paper. The SGSD ordered clustering algorithm was proposed based on the sample geometry similarity algorithm (SGSD) and the k-means clustering algorithm, and a practical analysis was performed. Besides, a comparison was made with the results of other algorithms from the references which use the same data. It shows that high information resolution can be achieved when the algorithm maps the multidimensional data object for one dimension, which is independent of any prior knowledge or expertise outside the data set. The empirical conclusion agrees with the actual conditions. |
3楼2013-11-07 22:42:22
孔老三
铁杆木虫 (著名写手)
- 应助: 155 (高中生)
- 金币: 9135.9
- 散金: 4
- 红花: 28
- 帖子: 2859
- 在线: 1204.4小时
- 虫号: 939759
- 注册: 2010-01-09
- 专业: 橡胶及弹性体
5楼2013-11-08 16:41:22
5