Korlyuk O. Methods for adapting the model parameters for the classification of textual information

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0413U005730

Thesis Registration Form

0413U005730.pdf

Applicant for

Specialization

  • 01.05.02 - Математичне моделювання та обчислювальні методи

30-09-2013

Specialized Academic Board

Д 26.001.35

Taras Shevchenko National University of Kyiv

Essay

selection of optimal parameters of feature space. Improved method of K-means through the use of special measures the distance between objects in the feature space. Improved models of automatic clustering and classification of text documents, by using container recognition with recurrence. Implemented algorithmic and software implementation of the proposed methods on the practical problems demonstrate efficiency, effectiveness and advantages of this approach compared to the known classification algorithms.

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Files

aref.doc

dis.docx

dis.docx

Додаток--Отсканировано 24.10.2013 11-43.pdf

Додаток--Отсканировано 24.10.2013 11-46.pdf

Додаток--Отсканировано 24.10.2013 11-48.pdf

Додаток--Отсканировано 24.10.2013 11-51.pdf

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