Top 10 algorithms for data mining-selection of image regions using kmeans

Many of my friends think that data mining is rarely used during development. In fact, this is not the case.AlgorithmWe are always with us. It is very helpful to master data mining. If we are skilled, we will use Windows and Web applications.ProgramDesign, but it only shows that we are very powerful and can be called a fighter plane, but we cannot be an aircraft carrier. Because we lack the driving force like an aircraft carrier, I think Data Mining must be one of those driving forces. In the previous article, I used kmeans to process the gray scale of the image. This article uses kmeans to select similar areas of the image ,:

 

From this moment on, I hope everyone will pay attention to data mining. No matter what aspects of development they are engaged in, data has become our core. Simple algorithms like kmeans are bound, and I believe it will certainly bring very good benefits. Maybe we need more than experience. More importantly, we may also need capabilities, which are different from others' abilities. The source code is provided for download in the attachment. This may be the only blog that can provide source code download using kmeans for this type of image processing. I hope you will study hard. It is a good thing to study abroad, but we should not take it as an example, self-innovation is very important.

Note: the source code is used for running. The source code is an expression and does not perform strict tests, but it is basically passed. After all, it is written in half an hour and there is an error in it, please understand that the application of kmeans is here. Next we will continue to explore other algorithms of the top 10 algorithms for data mining.

/Files/liufanping/kmeansimagespilt.rar