Efficient Clustering Algorithm of Mining Consumers' Most Adaptive Products

Use clustering methods to discover the individual consumer’s most adaptive products, which can support to make better decisions of marketing service. First, oriented from the consumer’s transactional data that we will mine and targeted by finding some consumer’s most adaptive products, we present a simple and efficient cluster algorithm to put the most similar data into the same group. Then we can find the mined consumer’s most adaptive products from the cluster. Moreover, we propose a Boolean algorithm to improve the performance of the previous.