论文标题
使用光谱群集识别星系动物园数据集中星系方向
Identification of orientation of galaxies in the Galaxy Zoo dataset using spectral clustering
论文作者
论文摘要
这项工作确定了银河动物园数据集中星系的方向。图像首先由代表图像方差的99％所需的主组件的数量标识。 k表示聚类用于基于其中央亮度以及离群分离的中央亮度分离星系。然后使用光谱聚类来分离圆形的对称星系，其余星系根据其方向识别为平坦，左右根据主轴的比对。还可以看出，当星系映像嘈杂时，光谱聚类无法进行此分类，并且仅在Galaxy Zoo数据集中图像总数的较小子集上应用时起作用。在图像中存在多个星系的情况下，此方法也将其视为个体实体。
This work identifies the orientation of galaxies in the Galaxy zoo data set. The images are first identified by the number of principal components required to represent 99 percent of the variance of the image. K means clustering is used to separate the galaxies on the basis of their central brightness along with outlier separation. Spectral clustering is then used to separate circularly symmetric galaxies and the remaining galaxies are identified according to their orientation as flat , left and right on the basis of the alignment of the main axis. It is also seen that spectral clustering fails to make this classification when the galaxy images are noisy and works only when applied on a smaller subset of the total number of images in the Galaxy zoo data set. This method also fails in the presence of multiple galaxies in the image, considering them as an individual entity.
