Patent ID: 8166035
Filing Date: 2012-04-24
Classification: G06F,G06K

Abstract:
1. A grid-based data clustering method, comprising: a parameter setting step setting a size value and a threshold ratio; a partition step dividing an area including a plurality of data into a plurality of grids; a searching step counting one of the grids as a seed on a seed list, with data in the grid having not been designated in any cluster, a number of the data in the grid being above a density standard, and the grid being regarded as a dense grid; a seed-classifying step including a fetching action and a judging action, with the fetching action picking out a first seed on the seed list to be a processing seed and canceling the first seed from the seed list, with the judging action determining whether the processing seed is a dense grid or not and executing an extension step if the processing seed is a dense grid or executing the fetching action again if the processing seed is not a dense grid; the extension step grouping up data in the processing seed, examining grids abutting against the processing seed whether the data in the examined grids have been designated in any cluster or not, combining the grouped data in the processing seed into a cluster if the data in the examined grids have been designated in the cluster or designating the grouped data into a single cluster, regarding any of the examined grid with no datum designated in any cluster as a seed and adding the seed onto the seed list, counting a total of the seeds on the seed list, and executing a termination step if there is no seed on the seed list or executing the seed-classifying step again if there is still at least one seed on the seed list; and the termination step determining whether the data in all the dense grids have been designated in any cluster or not, and terminating the grid-based data clustering method if data in any dense grids have been designated in a cluster or executing the searching step if data in any dense grids have not been designated in a cluster.