george paliouras ptpxlqshiitdemokritosgr hello think problem complex open expect find tool job question constitutes interestingrelevantuseful feature clustering hard answer one approach go feature extraction dimensionality reduction rather feature selection already done could look following references r jarvis e patrick clustering using similarity measure based shared nearest neighbours ieee trans comput c22 10251034 1973 l ertoez steinbach vkumar finding clusters different sizes shapes densities noisy high dimensional data technical report 2002 hofmann unsupervised learning probabilistic latent semantic analysis machine learning journal 421 177196 2001 l talavera feature selection incremental learning probabilistic concept hierarchies proceedings seventeenth international conference machine learning icml2000 httpwwwstatstanfordedujhfcosahtml best regards george original message nhipljlbixengrorstedu mailtonhipljlbixengrorstedu behalf estevam rafael hruschka junior sent wednesday may 25 2005 521 pm faqengrorstedu subject uai feature selection clustering 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 wed 06 aug 2008 142539 0300 uai feature selection clustering