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2047omi
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- ·ÒëEPI: 2
- Ó¦Öú: 1 (Ó×¶ùÔ°)
- ½ð±Ò: 450.6
- Ìû×Ó: 71
- ÔÚÏß: 10.7Сʱ
- ³æºÅ: 2231702
- ×¢²á: 2013-01-09
- ÐÔ±ð: GG
- רҵ: »·¾³·ÖÎö»¯Ñ§
¡¾´ð°¸¡¿Ó¦Öú»ØÌû
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°®ÓëÓêÏÂ: ½ð±Ò+1 2013-01-09 21:04:55
qwky2010: ½ð±Ò+10, ·ÒëEPI+1, ¡ï¡ï¡ïºÜÓаïÖú, 3q 2013-01-10 11:28:27
°®ÓëÓêÏÂ: ½ð±Ò+1 2013-01-09 21:04:55
qwky2010: ½ð±Ò+10, ·ÒëEPI+1, ¡ï¡ï¡ïºÜÓаïÖú, 3q 2013-01-10 11:28:27
|
According to typical correlation coefficient to establish typical correlation linear combination£¬table 5 is the weight of every variable in two group variables. Typical structure analysis is the further analysis of correlativity to original variable and typical variable. The correlation coefficient reflect the ammounts of information that is supported by original variable to typical variable. The bigger correlation coefficient is£¬the more information ammounts the original variable supports. |
2Â¥2013-01-09 20:56:51
nwsuafliu
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- ·ÒëEPI: 144
- Ó¦Öú: 42 (СѧÉú)
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- Ìû×Ó: 1437
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- ×¢²á: 2005-12-17
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qwky2010: ½ð±Ò+10, ¡ï¡ï¡ïºÜÓаïÖú, 3q 2013-01-10 11:28:34
qwky2010: ½ð±Ò+10, ¡ï¡ï¡ïºÜÓаïÖú, 3q 2013-01-10 11:28:34
| Table 5 shows the weight of each variable in the two groups of variables during the creation of canonical correlation linear combinations based on canonical correlation analysis. Canonical structure analysis is the further analysis on the correlation between original variables and canonical variables. The resulted correlation coefficient reflects the information content towards canonical variables provided by original variables. The greater the coefficient is, the higher information content provided by the original variables will be. |

3Â¥2013-01-09 21:25:27













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