Brain Atlas based Region of Interest Selection for Real-Time Source Localization using K-Means Lead Field Clustering and RAP-MUSIC.
نویسندگان
چکیده
C. Dinh, Institute of Biomedical Engineering and Informatics, Ilmenau University of Technology, Ilmenau, Germany, [email protected] D. Strohmeier, Institute of Biomedical Engineering and Informatics, Ilmenau University of Technology, Germany, [email protected] J. Haueisen, Institute of Biomedical Engineering and Informatics, Ilmenau University of Technology, Germany, [email protected] D. Güllmar, Department of Radiology, Jena University Hospital, Jena, Germany, [email protected]
منابع مشابه
Comparing Model-based Versus K-means Clustering for the Planar Shapes
In some fields, there is an interest in distinguishing different geometrical objects from each other. A field of research that studies the objects from a statistical point of view, provided they are invariant under translation, rotation and scaling effects, is known as the statistical shape analysis. Having some objects that are registered using key points on the outline...
متن کاملAssessment of the Performance of Clustering Algorithms in the Extraction of Similar Trajectories
In recent years, the tremendous and increasing growth of spatial trajectory data and the necessity of processing and extraction of useful information and meaningful patterns have led to the fact that many researchers have been attracted to the field of spatio-temporal trajectory clustering. The process and analysis of these trajectories have resulted in the extraction of useful information whic...
متن کاملA hybrid DEA-based K-means and invasive weed optimization for facility location problem
In this paper, instead of the classical approach to the multi-criteria location selection problem, a new approach was presented based on selecting a portfolio of locations. First, the indices affecting the selection of maintenance stations were collected. The K-means model was used for clustering the maintenance stations. The optimal number of clusters was calculated through the Silhou...
متن کاملAutomatic Music Clustering using Audio Attributes
Abstract—Music brings people together, it allows us to experience the same emotions. Currently musical genre classification is done manually and requires even the trained human ear considerable effort. Therefore, clustering songs automatically and then drawing valuable insights from those clusters is an interesting problem and can add great value to music information retrieval systems. Most of ...
متن کاملSolving Data Clustering Problems using Chaos Embedded Cat Swarm Optimization
In this paper, a new method is proposed for solving the data clustering problem using Cat Swarm Optimization (CSO) algorithm based on chaotic behavior. The problem of data clustering is an important section in the field of the data mining, which has always been noted by researchers and experts in data mining for its numerous applications in solving real-world problems. The CSO algorithm is one ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Biomedizinische Technik. Biomedical engineering
دوره 57 Suppl 1 شماره
صفحات -
تاریخ انتشار 2012