Wyniki wyszukiwania dla: SPECTRAL CLUSTERING

• Categorization of Wikipedia articles with spectral clustering

  Publikacja

  • J. Szymański

  - LECTURE NOTES IN COMPUTER SCIENCE - Rok 2011

  Abstract. The article reports application of clustering algorithms for creating hierarchical groups withinWikipedia articles.We evaluate three spectral clustering algorithms based on datasets constructed with usage ofWikipedia categories. Selected algorithm has been implemented in the system that categorize Wikipedia search results in the fly.

• Spectral Clustering Wikipedia Keyword-Based search Results

  Publikacja

  • J. Szymański
  • T. Dziubich

  - FRONTIERS IN ROBOTICS AND AI - Rok 2017

  The paper summarizes our research in the area of unsupervised categorization of Wikipedia articles. As a practical result of our research, we present an application of spectral clustering algorithm used for grouping Wikipedia search results. The main contribution of the paper is a representation method for Wikipedia articles that has been based on combination of words and links and used for categoriation of search results in this...

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• Unsupervised machine-learning classification of electrophysiologically active electrodes during human cognitive task performance

  Publikacja

  • K. Saboo
  • Y. Varatharajah
  • B. M. Berry
  • V. Kremen
  • M. R. Sperling
  • K. A. Davis
  • B. C. Jobst
  • R. E. Gross
  • B. C. Lega
  • S. A. Sheth... i 3 innych

  - Scientific Reports - Rok 2019

  Identification of active electrodes that record task-relevant neurophysiological activity is needed for clinical and industrial applications as well as for investigating brain functions. We developed an unsupervised, fully automated approach to classify active electrodes showing event-related intracranial EEG (iEEG) responses from 115 patients performing a free recall verbal memory task. Our approach employed new interpretable...

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• Induction of the common-sense hierarchies in lexical data

  Publikacja

  • J. Szymański
  • W. Duch

  - LECTURE NOTES IN COMPUTER SCIENCE - Rok 2011

  Unsupervised organization of a set of lexical concepts that captures common-sense knowledge inducting meaningful partitioning of data is described. Projection of data on principal components allow for dentification of clusters with wide margins, and the procedure is recursively repeated within each cluster. Application of this idea to a simple dataset describing animals created hierarchical partitioning with each clusters related...