Clustering based on the Structure of the Data and Side Information, Ph.D. Dissertation Sharif University of Technology ; Bagheri Shouraki, Saeed (Supervisor)
Abstract
Clustering is one of the important problems in machine learning, data mining, and pattern recognition fields. When the considered feature space for data representation is not suitable for discrimination of data groups, the data clustering problem may be a difficult problem that cannot be solved properly. In the other words, when the Euclidean distance cannot describe the dissimilarity of data pairs appropriately, the common clustering algorithms may not be helpful and the clusters show arbitrary shapes and spread in such spaces. Although since the late 1990’s several algorithms have been proposed for finding clusters of arbitrary structures, these algorithms cannot yield desirable...
Cataloging briefClustering based on the Structure of the Data and Side Information, Ph.D. Dissertation Sharif University of Technology ; Bagheri Shouraki, Saeed (Supervisor)
Abstract
Clustering is one of the important problems in machine learning, data mining, and pattern recognition fields. When the considered feature space for data representation is not suitable for discrimination of data groups, the data clustering problem may be a difficult problem that cannot be solved properly. In the other words, when the Euclidean distance cannot describe the dissimilarity of data pairs appropriately, the common clustering algorithms may not be helpful and the clusters show arbitrary shapes and spread in such spaces. Although since the late 1990’s several algorithms have been proposed for finding clusters of arbitrary structures, these algorithms cannot yield desirable...
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