monika ray ymzccsewustledu hello previous email mentioned pca ica kernel counter parts like sauid good place start effectiveness highly depends noisy dataset large number features svmrfe isabelle guyon known good another method mentioned feature selection highdimensional genomic microarray data eric xing et al paper titled feature selection methods kernel based gene expression analysis kernel methods computational biology b scholkopf k tsuda jp vert editors mit press 2004 would give good overview categories examples feature selection methods many algorithms found implemented matlab probably even javac thank sincerely monika ray sweetest songs tell saddest thought computational intelligence centre washington university st louis mo wed 25 may 2005 felix goldberg wrote well use pca standard tool course depending problem nature quality features results may range great catastrophic case thats id try first another option would ica need satisfy additional statistical assumptions work worth giving try anyway kernel versions pca ica around havent specified language working ill suggest implementations matlab im best familiar pca builtin least recent versions matlab also google nice free toolbox called sprtool ii ica google free toolbox fastica wish discuss question feel free mail best regards felix felix goldberg msc crvplztxtechnionacil wwwtechnionacilfelixg wed 25 may 2005 estevam rafael hruschka junior wrote dear im performing clustering task need reduce amount dataset features attributes looking feature selection tool ive faced packages classification class information dataset able use know free feature selection software clustering tasks thank much advance best regards estevam _______________________ estevam rafael hruschka junior phd departamento de computação universidade federal de são carlos dcufscar rod washington luiz km 235 caixa postal po box 676 13565905 são carlos sp brazil phone 55 16 33518608 httpwwwdcufscarbrestevam uai mailing list wed 06 aug 2008 063127 0500 uai feature selection clustering