Corpus ID: 18106882

MLK-Means-A Hybrid Machine Learning based K-Means Clustering Algorithms for Document Clustering

@inproceedings{Perumal2012MLKMeansAHM,
  title={MLK-Means-A Hybrid Machine Learning based K-Means Clustering Algorithms for Document Clustering},
  author={P. Perumal and R. Nedunchezhian},
  year={2012}
}
Document clustering is useful in many information retrieval tasks such as document browsing, organization and viewing of retrieval results. They are very much and currently the subject of significant global research. Generative models based on the multivariate Bernoulli and multinomial distributions have been widely used for text classification. In this work, address a new hybrid algorithm called MLK-Means for clustering TMG format document data, in which, the normal Euclidean distance based… Expand

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