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The Evolving Tree Analysis and Applications
Oleh:
Pakkanen, J.
;
Iivarinen, J.
;
Oja, E.
Jenis:
Article from Journal - ilmiah internasional
Dalam koleksi:
IEEE Transactions on Neural Networks vol. 17 no. 3 (May 2006)
,
page 591-603.
Topik:
trees
;
tree analysis
;
applications
Ketersediaan
Perpustakaan Pusat (Semanggi)
Nomor Panggil:
II36
Non-tandon:
1 (dapat dipinjam: 0)
Tandon:
tidak ada
Lihat Detail Induk
Isi artikel
In this paper, we enhance and analyze the Evolving Tree (ETree) data analysis algorithm. The suggested improvements aim to make the system perform better while still maintaining the simple nature of the basic algorithm. We also examine the system's behaviour with many different kinds of tests, measurements and visualizations. We compare the ETree's performance against classical data analysis methods and very similar modern systems. We find that the ETree is a suitable method for unsupervised analysis of huge data sets.
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