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MATLAB Implementation Details of a Scalable Spectral Clustering Algorithm with the Cosine Similarity

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2019) 11455 LNCS 94-97
DOI: 10.1007/978-3-030-23987-9_8
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Abstract

We present the implementation details of a scalable spectral clustering algorithm with cosine similarity (ICPR 2018, Beijing, China), which are based on simple, efficient matrix operations. The sensitivity of its parameters is also discussed.

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Chen, G. (2019). MATLAB Implementation Details of a Scalable Spectral Clustering Algorithm with the Cosine Similarity. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11455 LNCS, pp. 94–97). Springer Verlag. https://doi.org/10.1007/978-3-030-23987-9_8

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