Asanka Fonseka

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This paper presents an unsupervised hierarchical growing self-organizing neural network for exploring, visualizing and clustering the input space in a hierarchical manner. The Multi-Layer Growing Self-Organization Maps (Multi-Layer GSOM), which is an extension of Growing Self-Organization Maps (GSOM) is capable of alleviating the limitations of both(More)
A significant problem which arises during the process of knowledge discovery is dealing with data which have temporal dependencies. The attributes associated with temporal data need to be processed differently from non temporal attributes. A typical approach to address this issue is to view temporal data as an ordered sequence of events. In this work, we(More)
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