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Fresh berries are a popular and important component of the human diet. The demand for high‐quality berries and sustainable production methods is increasing globally, challenging breeders to develop modern berry cultivars that fulfill all desired characteristics. Since 1994, research projects have characterized genetic resources, developed modern tools for high‐throughput screening, and published data...
Clustering graphs annotated with feature vectors has recently gained much attention. The goal is to detect groups of vertices that are densely connected in the graph as well as similar with respect to their feature values. While early approaches treated all dimensions of the feature space as equally important, more advanced techniques consider the varying relevance of dimensions for different groups...
In today's applications, data analysis tasks are hindered by many attributes per object as well as by faulty data with missing values. Subspace clustering tackles the challenge of many attributes by cluster detection in any subspace projection of the data. However, it poses novel challenges for handling missing values of objects, which are part of multiple subspace clusters in different projections...
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