Importance of Individual Variables in the k-means Algorithm

Juha Vesanto

Importance of Individual Variables in the k-means Algorithm

Juha Vesanto

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Original language	English
Title of host publication	5th Pacific-Area Conference on Knowledge Discovery in Databases (PAKDD2001), Hong Kong, April 16-18, 2001
Pages	513-518
Publication status	Published - 2001
MoE publication type	A4 Article in a conference publication

Keywords

k-means
normalization
quantization
standardation

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Cite this

@inproceedings{28b5e68b1502462e8d8fdf0cfdeb5259,

title = "Importance of Individual Variables in the k-means Algorithm",

keywords = "k-means, normalization, quantization, standardation, k-means, normalization, quantization, standardation, k-means, normalization, quantization, standardation",

author = "Juha Vesanto",

year = "2001",

language = "English",

pages = "513--518",

booktitle = "5th Pacific-Area Conference on Knowledge Discovery in Databases (PAKDD2001), Hong Kong, April 16-18, 2001",

}

TY - GEN

T1 - Importance of Individual Variables in the k-means Algorithm

AU - Vesanto, Juha

PY - 2001

Y1 - 2001

KW - k-means

KW - normalization

KW - quantization

KW - standardation

KW - k-means

KW - normalization

KW - quantization

KW - standardation

KW - k-means

KW - normalization

KW - quantization

KW - standardation

M3 - Conference contribution

SP - 513

EP - 518

BT - 5th Pacific-Area Conference on Knowledge Discovery in Databases (PAKDD2001), Hong Kong, April 16-18, 2001

ER -