Implementation of FAST Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data

High Dimensional ◽

Feature Subset ◽

Selection Algorithm

Overview of feature subset selection algorithm for high dimensional data

2017 International Conference on Inventive Systems and Control (ICISC) ◽

10.1109/icisc.2017.8068599 ◽

2017 ◽

Author(s):

Swati S. Gandhi ◽

S. S. Prabhune

Keyword(s):

High Dimensional Data ◽

Subset Selection ◽

High Dimensional ◽

Feature Subset ◽

Selection Algorithm

A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data

IEEE Transactions on Knowledge and Data Engineering ◽

10.1109/tkde.2011.181 ◽

2013 ◽

Vol 25 (1) ◽

pp. 1-14 ◽

Cited By ~ 277

Author(s):

Qinbao Song ◽

Jingjie Ni ◽

Guangtao Wang

Keyword(s):

High Dimensional Data ◽

Subset Selection ◽

High Dimensional ◽

Feature Subset ◽

Selection Algorithm

An improved feature subset selection algorithm for high-dimensional data and its application on hot rolling process data

2017 36th Chinese Control Conference (CCC) ◽

10.23919/chicc.2017.8028906 ◽

2017 ◽

Author(s):

Yihan Wang ◽

Bin Liu ◽

Weigang Li

Keyword(s):

Hot Rolling ◽

High Dimensional Data ◽

Subset Selection ◽

Rolling Process ◽

High Dimensional ◽

Feature Subset ◽

Selection Algorithm ◽

Process Data ◽

Hot Rolling Process

Fuzzy C Means Clustering Algorithm for High Dimensional Data Using Feature Subset Selection Technique

IOSR Journal of Computer Engineering ◽

10.9790/0661-16226469 ◽

2014 ◽

Vol 16 (2) ◽

pp. 64-69 ◽

Cited By ~ 1

Author(s):

N. Manjula ◽

◽

S. Pandiarajan ◽

J. Jagadeesan

Keyword(s):

Clustering Algorithm ◽

High Dimensional Data ◽

Subset Selection ◽

High Dimensional ◽

Feature Subset ◽

Selection Technique ◽

Fuzzy C Means ◽

Fuzzy C Means Clustering

Query-learning-based iterative feature-subset selection for learning from high-dimensional data sets

Knowledge and Information Systems ◽

10.1007/s10115-005-0199-4 ◽

2005 ◽

Vol 9 (1) ◽

pp. 91-108 ◽

Cited By ~ 3

Author(s):

Hiroshi Mamitsuka

Keyword(s):

High Dimensional Data ◽

Subset Selection ◽

High Dimensional ◽

Data Sets ◽

Feature Subset ◽

Query Learning ◽

An efficient & effective feature subset selection for high dimensional data

2017 International Conference on Trends in Electronics and Informatics (ICEI) ◽

10.1109/icoei.2017.8300975 ◽

2017 ◽

Author(s):

Swapnil Kumbhar ◽

Siddheshwar Patil

Keyword(s):

High Dimensional Data ◽

Subset Selection ◽

High Dimensional ◽

Feature Subset ◽

Mining Intelligence and Knowledge Exploration - Lecture Notes in Computer Science ◽

Sequential Instance Based Feature Subset Selection for High Dimensional Data

10.1007/978-3-319-26832-3_5 ◽

2015 ◽

pp. 37-46

Author(s):

Afef Ben Brahim ◽

Mohamed Limam

Keyword(s):

High Dimensional Data ◽

Subset Selection ◽

High Dimensional ◽

Feature Subset ◽

2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT) ◽

Survey on feature subset selection for high dimensional data

10.1109/iccpct.2016.7530147 ◽

2016 ◽

Cited By ~ 8

Author(s):

A H Shahana ◽

V Preeja

Keyword(s):

High Dimensional Data ◽

Subset Selection ◽

High Dimensional ◽

Feature Subset ◽

Optimal feature subset selection in high dimensional data clustering

International Journal of Business Intelligence and Data Mining ◽

10.1504/ijbidm.2016.081866 ◽

2016 ◽

Vol 11 (3) ◽

pp. 242 ◽

Cited By ~ 2

Author(s):

Kasturi Chandrahaasan Sharmili ◽

Arul Gnanaprakasaam Chilambuchelvan

Keyword(s):

Data Clustering ◽

High Dimensional Data ◽

Subset Selection ◽

High Dimensional ◽

Feature Subset ◽

Optimal Feature Subset ◽

Optimal Feature

Optimal Feature Subset Selection in High Dimensional Data Clustering

International Journal of Business Intelligence and Data Mining ◽

10.1504/ijbidm.2016.10002432 ◽

2016 ◽

Vol 1 (1) ◽

pp. 1

Author(s):

K.C. Sharmili ◽

Arul Gnanaprakasaam Chilambuchelvan

Keyword(s):

Data Clustering ◽

High Dimensional Data ◽

Subset Selection ◽

High Dimensional ◽

Feature Subset ◽

Optimal Feature Subset ◽

Optimal Feature