Design a Clustering Document based Semantic Similarity System using TFIDF and K-Mean-Reference-Cited by-同舟云学术

Design a Clustering Document based Semantic Similarity System using TFIDF and K-Mean

Published:2021-09-21 Issue: Volume: Page:
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Container-title:2021 4th International Iraqi Conference on Engineering Technology and Their Applications (IICETA)
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Author:

Ibrahim Rowaida Khalil¹,Zeebaree Subhi R. M.²,Jacksi Karwan¹,Sadeeq Mohammed A. M.³,Shukur Hanan M.⁴,Alkhayyat Ahmed⁵

Affiliation:

1. University of Zakho,Computer science Dept,Duhok,Iraq

2. Duhok Polytechnic University,Culture Center,Duhok,Iraq

3. Duhok Polytechnic University,Quality Assurance,Duhok,Iraq

4. Al-Kitab University,dept. Computer Engineering,Kirkuk,Iraq

5. Islamic University,dept. Technical Engineering,Najaf,Iraq

Publisher

IEEE

Link

Reference42 articles.

3. A similarity measure for text classification and clustering;lin;IEEE Transactions on Knowledge and Data Engineering,2013

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1. Natural Outlier Rejection with Shepherd's Psychometric Similarity Metric;2023 IEEE International Symposium on Circuits and Systems (ISCAS);2023-05-21

2. Clustering Document based on Semantic Similarity Using Graph Base Spectral Algorithm;2022 5th International Conference on Engineering Technology and its Applications (IICETA);2022-05-31