code
所属分类：人工智能/神经网络/深度学习
开发工具：matlab
文件大小：20905KB
下载次数：1
上传日期：2019-12-11 20:26:27
上 传 者：
bengbengkaka
说明： 是关于文章Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification的Matlab源代码，希望对从事这个方向的人员有所帮助。
(Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification)
文件列表:
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification (0, 2019-09-14)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS (0, 2019-09-14)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib (0, 2019-09-14)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\.svn (0, 2019-09-14)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\.svn\all-wcprops (690, 2013-01-26)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\.svn\entries (978, 2013-01-26)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\.svn\prop-base (0, 2019-12-11)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\.svn\props (0, 2019-12-11)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\.svn\text-base (0, 2019-09-14)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\.svn\text-base\afterTesting.m.svn-base (386, 2013-01-26)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\.svn\text-base\beforeTesting.m.svn-base (422, 2013-01-26)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\.svn\text-base\sometest.m.svn-base (228, 2013-01-26)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\.svn\text-base\testingFrameworkOnLiang.m.svn-base (4200, 2013-01-26)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\.svn\text-base\testingFrameworkOnWang.m.svn-base (4313, 2013-01-26)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\.svn\tmp (0, 2019-09-14)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\.svn\tmp\prop-base (0, 2019-12-11)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\.svn\tmp\props (0, 2019-12-11)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\.svn\tmp\text-base (0, 2019-12-11)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\Benchmarks (0, 2019-09-14)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\Benchmarks\.svn (0, 2019-09-14)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\Benchmarks\.svn\all-wcprops (95, 2013-01-26)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\Benchmarks\.svn\entries (216, 2013-01-26)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\Benchmarks\.svn\prop-base (0, 2019-12-11)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\Benchmarks\.svn\props (0, 2019-12-11)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\Benchmarks\.svn\text-base (0, 2019-12-11)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\Benchmarks\.svn\tmp (0, 2019-09-14)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\Benchmarks\.svn\tmp\prop-base (0, 2019-12-11)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\Benchmarks\.svn\tmp\props (0, 2019-12-11)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\Benchmarks\.svn\tmp\text-base (0, 2019-12-11)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\Benchmarks\Xue (0, 2019-09-14)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\Benchmarks\Xue\.svn (0, 2019-09-14)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\Benchmarks\Xue\.svn\all-wcprops (628, 2013-01-26)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\Benchmarks\Xue\.svn\entries (781, 2013-01-26)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\Benchmarks\Xue\.svn\prop-base (0, 2019-12-11)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\Benchmarks\Xue\.svn\props (0, 2019-12-11)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\Benchmarks\Xue\.svn\text-base (0, 2019-09-14)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\Benchmarks\Xue\.svn\text-base\WangBenchmarkFun.asv.svn-base (131134, 2013-01-26)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\Benchmarks\Xue\.svn\text-base\WangBenchmarkFun.m.svn-base (131317, 2013-01-26)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\Benchmarks\Xue\.svn\text-base\getFunParamOnWang.m.svn-base (1948, 2013-01-26)
02-MatlabCodes-EvolutionaryFeatureSelectionForClassification\LSFS\algLib\Benchmarks\Xue\.svn\text-base\u.m.svn-base (138, 2013-01-26)
... ...
We are more than happy to share the related Matlab codes with you. If you do some further studies based on this research work, please cite this study as a reference in your paper(s) as follows:
Y. Xue, B. Xue, and M. Zhang, Self-adaptive particle swarm optimization for large-scale feature selection in classification, ACM Transactions on Knowledge Discovery from Data, vol. 13, no. 5, pp. 1-27, 2019.
@article{xue2019EvoFS,
author = {Xue, Yu and Xue, Bing and Zhang, Mengjie},
title = {Self-adaptive particle swarm optimization for large-scale feature selection in classification},
journal = {ACM Transactions on Knowledge Discovery from Data},
volume = {13},
number = {5},
pages = {1-27},
ISSN = {1556-4681},
DOI = {10.1145/3340848},
year = {2019},
type = {Journal Article}
}
Please notice that the reference format and the codes are not the final versions, we will continuously update them in the following some days. Please feel free to contact me if you have any questions or comments. My Email address is: xueyu@nuist.edu.cn
I will also update the reference and codes in my ResearchGate website at
https://www.researchgate.net/profile/Yu_Xue19
(1) File "testingFrameworkOnXue" is the main procedure
(2) The maximum number of fitness evaluation can be modified in the file "\LSFS\algLib\Benchmarks\Xue\getFunParamOnXue.m"
(3) The codes for the proposed method are included in the file of "\LSFS\algLib\algorithms\LSFS"
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