Customer clustering is used to understand customers’ preferences and behaviors by examining the differences and similarities between customers. Kohonen vector quantization clustering technology is used in this research and is compared with Kmeans clustering. The data set consists of customer records obtained from a mobile telecommunications service provider. The customers are clustered using va...

assessment of relationship between self-efficacy and self- care in copd patients     abedi ha [1] , salimi s [2] , feizi a [3] , safari vaghasloo s [4] *     received: 17 sep, 2011 accepted: 27 nov, 2011     abstract   background & aims : given the importance of the copd and role of different factors in self-care behaviors of copd patients, this study have been conducted to determine the relati...

The purpose of the present work is to classify the 31 cities of Rio de Janeiro State in Brazil based on their energy consumption. The point is to search new criteria to cluster the users in order to establish, in a more homogeneous way, indices of energy quality. Moreover, it aims to bring about a framework from which it will be possible to determine the relative efficiency among the cities of ...

Preprint submitted to Elsevier Science 29 April 2003 A clustering method based on recursive bisection is introduced for analyzing microarray gene expression data. Either or both dimensions for the genes and the samples of a given microarray dataset can be classi£ed in an unsupervised fashion. Alternatively, if certain prior knowledge of the genes or samples is available, a supervised version of...

With the increase of living standards and the sustainable changing patterns of people’s lives, nowadays, hairdressing services have been widely used by people. This paper adopts data mining techniques by combining self-organizing maps (SOM) and K-means methods to apply in RFM (recency, frequency, and monetary) model for a hair salon in Taiwan to segment customers and develop marketing strategie...