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https://papers.nips.cc/paper/1823-a-support-vector-method-for-clustering.pdf
We present a novel method for clustering using the support vector ma chine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to define a sphere enclosing them. The boundary of the sphere forms in data space a …
https://www.researchgate.net/publication/220320417_Support_Vector_Clustering
We present a novel clustering method using the approach of support vector machines. Data points are mapped by means of a Gaussian kernel to a high dimensional feature space, where we search for ...
https://stats.stackexchange.com/questions/213372/is-support-vector-clustering-a-method-for-implementing-k-means-or-is-it-a-diffe
Support vector clustering has the following idea: let us transform the points from their space to a higher dimensionality feature space. Find a minimal enclosing sphere in this feature space. In the original space, the sphere becomes a set of disjoing regions. Each region becomes a cluster.
http://www.cs.colostate.edu/%7Easa/papers/svc.pdf
we discuss in detail a method which allows for a systematic search for clustering solutions without making assumptions on their number or shape, first introduced in Ben-Hur et al. (2001). In our Support Vector Clustering (SVC) algorithm data points are mapped from data space to a high dimensional feature space using a Gaussian kernel.
https://www.researchgate.net/publication/220931827_A_Support_Vector_Clustering_Method
Support Vector Clustering (SVC) is a clustering algorithm proposed in 2000 by Ben-Hur [1] that uses the solution of the Support Vector Domain Description (SVDD) [2], [14] model to group data ...
http://www.ai.mit.edu/projects/jmlr/papers/volume2/horn01a/rev1/horn01a1r.pdf
SupportVectorClustering AsaBen-Hur [email protected] BIOwulf Technologies 2030 Addison st. suite 102, Berkeley, CA 94704, USA DavidHorn [email protected] School of Physics and Astronomy Raymond and Beverly Sackler Faculty of Exact Sciences ... Support Vector Clustering with ...
https://www.cs.cornell.edu/people/tj/publications/finley_joachims_05a.pdf
Supervised Clustering with Support Vector Machines Thomas Finley [email protected] Thorsten Joachims [email protected] Department of Computer Science, Cornell University, Ithaca, NY 14853 USA Abstract Supervised clustering is the problem of train-ing a clustering algorithm to produce desir-able clusterings: given sets of items and com-
https://www.math.uh.edu/~razencot/MyWeb/docs/workshop/ZhuoLiu_SVclustering.pptx
A support vector clustering method. in International Conference on Pattern Recognition, 2000. A. Ben-Hur, D. Horn, H.T. Siegelmann, and V. Vapnik. A support vector clustering method. in Advances in Neural Information Processing Systems 13: Proceedings of the 2000 Conference, Todd K. Leen, Thomas G. Dietterich and Volker Tresp eds., 2001.
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