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- 1Active learning
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Development of Partially Supervised Kernel-based Proximity Clustering Frameworks and Their Applications
DownloadSpring 2011
The focus of this study is the development and evaluation of a new partially supervised learning framework. This framework belongs to an emerging field in machine learning that augments unsupervised learning processes with some elements of supervision. It is based on proximity fuzzy clustering,...
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Graph Clustering: Complexity, Sequential and Parallel Algorithms
1995
Technical report TR95-01. In this thesis we study graph clustering on two well known families of graphs that arise in many applications, namely bipartite and chordal graphs. We study two specific types of clustering problems. On the one hand we seek a partition of the vertex set of a graph into...