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Metz, 2022 - Google Patents

Training Quantum Kernels for Clustering Algorithms

Metz, 2022

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Document ID
15172797802125918304
Author
Metz N
Publication year

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Clustering is an important machine learning (ML) task, especially for applications dealing with large amounts of data. In these cases, clustering is used to detect structure in the data by grouping together similar datapoints. In this context, similarity is no strictly de ned …
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    • G06K9/6269—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches based on the distance between the decision surface and training patterns lying on the boundary of the class cluster, e.g. support vector machines
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