Abstract: Image Segmentation based on K-means algorithm is presented in GUI (Graphical User Interface). The K-means algorithm and adaptive k-means clustering is used to obtain high performance and efficiency in image segmentation. In addition, it has a resolving capability of one image into different planes by selecting the number of clusters using datasets of image. And also the advance of K-means is adaptive K-means which will give the frame size and the absolute value between the means of an image. The iteration time on image segmentation is determined by using Adaptive k-means clustering. Adaptive k-means is used for better image segmentation that has been shown in MATLAB Simulation.

• Publication Date: 03-Jun-2011
• DOI: 10.15224/978-981-07-1847-3-1027
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Abstract: Data mining has been used extensively in many fields like retail, e-business, marketing, etc. and has provided pioneering results. This paper presents the application of data mining in health care. The paper compares data mining with traditional statistics, gives some advantages of automated data systems, enumerates the steps involved in data mining process. A growing number of data mining applications in health care have been discussed in this paper. Also the issues and challenges faced by data mining in health care are presented.

• Publication Date: 03-Jun-2011
• DOI: 10.15224/978-981-07-1847-3-1027
• Views: 0
• Downloads: 0