Zobrazeno 1 - 10
of 496
pro vyhledávání: '"LANG, ANDREAS"'
Autor:
Lang, Andreas, Schubert, Erich
Publikováno v:
Int. Conf. on Similarity Search and Applications, 2023
The k-means clustering algorithm is a popular algorithm that partitions data into k clusters. There are many improvements to accelerate the standard algorithm. Most current research employs upper and lower bounds on point-to-cluster distances and the
Externí odkaz:
http://arxiv.org/abs/2410.15117
Autor:
Schubert, Erich, Lang, Andreas
Hierarchical Agglomerative Clustering (HAC) is likely the earliest and most flexible clustering method, because it can be used with many distances, similarities, and various linkage strategies. It is often used when the number of clusters the data se
Externí odkaz:
http://arxiv.org/abs/2309.02552
Autor:
Lang, Andreas
Publikováno v:
22nd European Union Contest for Young Scientists (EUCYS), Lissabon, September 2010.
Groups of starlings can form impressive shapes as they travel northward together in the springtime. This is among a group of natural phenomena based on swarm behaviour. The research field of artificial intelligence in computer science, particularly t
Spherical k-means is a widely used clustering algorithm for sparse and high-dimensional data such as document vectors. While several improvements and accelerations have been introduced for the original k-means algorithm, not all easily translate to t
Externí odkaz:
http://arxiv.org/abs/2107.04074
Autor:
Dolezel, Marion1 (AUTHOR) anita.greiter@umweltbundesamt.at, Lang, Andreas2,3 (AUTHOR) lang@biologie.de, Greiter, Anita1 (AUTHOR) marianne.miklau@umweltbundesamt.at, Miklau, Marianne1 (AUTHOR) michael.eckerstorfer@umweltbundesamt.at, Eckerstorfer, Michael1 (AUTHOR) andreas.heissenberger@umweltbundesamt.at, Heissenberger, Andreas1 (AUTHOR), Willée, Eva4 (AUTHOR) wiebke.zueghart@bfn.de, Züghart, Wiebke4 (AUTHOR)
Publikováno v:
BioTech. Jun2024, Vol. 13 Issue 2, p14. 24p.
Autor:
Lang, Andreas, Schubert, Erich
BIRCH clustering is a widely known approach for clustering, that has influenced much subsequent research and commercial products. The key contribution of BIRCH is the Clustering Feature tree (CF-Tree), which is a compressed representation of the inpu
Externí odkaz:
http://arxiv.org/abs/2006.12881
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