SLICE: A Novel Method to Find Local Linear Correlations by Constructing Hyperplanes

摘要

Finding linear correlations in dataset is an important data mining task, which can be widely applied in the real world. Existing correlation clustering methods may miss some correlations when instances are sparsely distributed. Other recent studies are limited to find the primary linear correlation of the dataset. This paper develops a novel approach to seek multiple local linear correlations in dataset. Extensive experiments show that this approach is effective and efficient to find the linear correlations in data subsets.