One important critical issue in wireless sensor networks is how to gather sensed information in an energy efficient way since the energy is a scarce resource in a sensor node. Clustering technique has been proven to be an effective approach for data-gathering in wireless sensor networks. However, these data are characteristic of being heavily noisy, exhibiting temporal and spatial correlation. Data mining is a process in which a wide spectrum of data analysis methods is used. In order to extract useful information from such data, in this paper, we propose a novel cluster formation algorithm, w...
