Global ETD Search
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Showing 1 to 3 of 3 for “"multi-view clustering"”.
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Statistical analysis of neuronal data: Development of quantitative frameworks and application to microelectrode array analysis and cell type classification
… neuronal networks. Results from this review of burst analysis methods are then used to inform the development of a framework for characterising the activity of neuronal networks recorded on MEAs, using properties of bursting as well as other common features of spontaneous activity. Using …
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Advances in nonnegative matrix factorization with application on data clustering.
Clustering is an important direction in many fields, e.g., machine learning, data mining and computer vision. It aims to divide data into groups (clusters) for the purposes of summarization or improved understanding. With the rapid development of new technology, high-dimensional data become very …
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Consistent community detection in uni-layer and multi-layer networks
… networks in many modern applications are often multi-layered in the sense that they consist of multiple types of edges/relations among a group of entities. Each of those different types of relations can be viewed as creating its own network, called a layer of the multi-layer network. Multi-layer …