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Svcr An R Package For Support Vector Clustering Improved With Geometric Hashing Applied To Lexical Pattern Discovery

Turenne Nicolas. Arxiv 2015

[Paper]    
ARXIV Case Study Unsupervised

We present a new R package which takes a numerical matrix format as data input, and computes clusters using a support vector clustering method (SVC). We have implemented an original 2D-grid labeling approach to speed up cluster extraction. In this sense, SVC can be seen as an efficient cluster extraction if clusters are separable in a 2-D map. Secondly we showed that this SVC approach using a Jaccard-Radial base kernel can help to classify well enough a set of terms into ontological classes and help to define regular expression rules for information extraction in documents; our case study concerns a set of terms and documents about developmental and molecular biology.

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