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- W1984202360 abstract "This investigation develops a new data clustering technique. It is a new density-based clustering scheme by diagonal sampling and a new method of fold and rotation for enhancing data clustering performance. The proposed algorithm's expansion without selecting data points to increase computation cost and it may considerably lower time cost The experimental results confirm that the presented approach has fairly high clustering accuracy and noise filtering rate, and is faster than numerous well-known existing density-based data clustering algorithms such as DBSCAN, IDBSCAN, KIDBSCAN and FDBSCAN approaches." @default.
- W1984202360 created "2016-06-24" @default.
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- W1984202360 date "2014-07-01" @default.
- W1984202360 modified "2023-09-25" @default.
- W1984202360 title "A new efficient density-based data clustering technique using cross expansion for data mining" @default.
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- W1984202360 doi "https://doi.org/10.1109/icmlc.2014.7009662" @default.
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