A new cluster algorithm for orientation data

摘要: An algorithm to classify data points on the sphere in distinct cluster groups is defined. The characteristics of and rule for assigning are related a continuous differentiable density estimation. modes estimated assumed be representative groups; then assigned mode reached by steepest ascent. major advantage this procedure its sensitivity detecting independently their geometry configuration. As consequence, capable handling orientation that may arranged girdles.