The Research and Application of Visual Data ...

URL: http://www.sjie.org/paperInfo.aspx?ID=212

With the advancement of science and technology, and it is becoming an increasingly important research area that to obtain the knowledge from the multi-dimensional data which generated by industry. The traditional visual data mining can't handle the spatial data when facing the huge amounts of multidimensional data in power system, and the multidimensional data visualization was also not conducive to collect the knowledge for the users. Therefore, the article put forward a new visualization of data mining model —VSDMmodel which based on SOM (Self-organizing feature map) clustering. The model used the Improved SOM clustering algorithm to reduce the dimension of high dimensional data in grid and showed the results in low-dimensional visualization. It can speed up the comprehension to the mining results; and it also allows users to analyze the interesting region in depth. Finally the model can mine the power system massive data in a visual method.

There are no views created for this resource yet.

Additional Information

Field Value
Last updated May 14, 2013
Created unknown
Format aspx
License Other (Open)
Createdover 12 years ago
Media typetext/html
Size28,273
formataspx
idbcfae6f8-bfa5-4afc-a1a6-471eb9218084
last modifiedover 12 years ago
package id02447c8a-2e39-4259-bcac-57e251f81903
resource typefile
revision id0b67a1e2-f695-4c60-bcac-31ea44b5786c
stateactive