A framework for density weighted kernel fuzzy c-Means on gene expression data

Yu Wang; Maia Angelova; Yang Zhang

doi:10.1007/978-3-642-37502-6_54

A framework for density weighted kernel fuzzy c-Means on gene expression data

Yu Wang, Maia Angelova, Yang Zhang

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Original language	English
Pages (from-to)	453-461
Journal	Advances in Intelligent Systems and Computing
Volume	212
DOIs	https://doi.org/10.1007/978-3-642-37502-6_54
Publication status	Published - 8 May 2013

Keywords

fuzzy clustering
gene expression data
parzen density estimation

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10.1007/978-3-642-37502-6_54

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title = "A framework for density weighted kernel fuzzy c-Means on gene expression data",

keywords = "fuzzy clustering, gene expression data, parzen density estimation",

author = "Yu Wang and Maia Angelova and Yang Zhang",

year = "2013",

month = may,

day = "8",

doi = "10.1007/978-3-642-37502-6\_54",

language = "English",

volume = "212",

pages = "453--461",

journal = "Advances in Intelligent Systems and Computing",

issn = "2194-5357",

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T1 - A framework for density weighted kernel fuzzy c-Means on gene expression data

AU - Wang, Yu

AU - Angelova, Maia

AU - Zhang, Yang

PY - 2013/5/8

Y1 - 2013/5/8

KW - fuzzy clustering

KW - gene expression data

KW - parzen density estimation

UR - https://www.scopus.com/pages/publications/84880370222

U2 - 10.1007/978-3-642-37502-6_54

DO - 10.1007/978-3-642-37502-6_54

M3 - Article

SN - 2194-5357

VL - 212

SP - 453

EP - 461

JO - Advances in Intelligent Systems and Computing

JF - Advances in Intelligent Systems and Computing

ER -

A framework for density weighted kernel fuzzy c-Means on gene expression data

Keywords

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