ohwwlejspbfotbplistscmswaikatoacnz send wekalist mailing list submissions iuxxdkqklistscmswaikatoacnz subscribe unsubscribe via world wide web visit httpslistscmswaikatoacnzmailmanlistinfowekalist via email send message subject body help ohwwlejspbfotbplistscmswaikatoacnz reach person managing list pobypuhshvhzjlistscmswaikatoacnz replying please edit subject line specific contents wekalist digest todays topics 1 feature selection mark hall 2 dbscan algorithm need help 3 weka attribution selection method wrapper adrienne heinrich 4 string kernel lambda pruning dr alexander k seewald 5 represent missing values database bruno rené santos 6 weka 3412 error could find main class ashutosh vafzspentahoorg sat apr 26 154934 2008 message 1 date thu 6 mar 2008 145739 1300 mark hall subject wekalist feature selection weka machine learning workbench list messageid 20080306015738gb28775cygnuslocal contenttype textplain charsetusascii values value chisquared statistic corresponding attribute respect class cheers mark tue mar 04 2008 035648pm 0500 jirjvzgmailcom wrote hi using chisquared ranking filter attribute selection however figure numbers first column results signify 201578 etc shown numbers related significance pvalue attribute appears increasing value makes attribute worthy another question basis ranker algorithm rank attributes using following scheme evaluator wekaattributeselectionchisquaredattributeeval search wekaattributeselectionranker 17976931348623157e308 n 1 ranked attributes 201578 2 a2 199243 3 a3 150672 1 a1 123902 4 a4 100298 5 a5 selected attributes 23145 5 thank much _______________________________________________ wekalist mailing list iuxxdkqklistscmswaikatoacnz httpslistscmswaikatoacnzmailmanlistinfowekalist mark hall senior developerconsultant pentaho open source business intelligence citadel international suite 340 5950 hazeltine national dr orlando fl 32822 usa 64 7 8473537 office 64 21 399132 mobile 1 815 5508637 fax skype markandrewhall yahoo mark_andrew_hall download latest release today yoakecuzigmailcom sat apr 26 154934 2008 message 2 date thu 6 mar 2008 083132 0200 subject wekalist dbscan algorithm need help weka machine learning workbench list messageid 0yl6n7735380675306l697735z8ki753oy569773f3w0mailgmailcom contenttype textplain charsetiso88591 wed mar 5 2008 1150 pm rafiqul haque wrote dear experts dealing large dataset 2001 instances 144 attributes using dbscan clustering algorith found big problem parameter valuesepsilon minpoints enetered following epsilon01 minpoints6 ii epsilon02 minpoints6 iiiepsilon10 minpoints4 iv epsilon60 minpoints10 found 13138 first three inputs respectively 961785 instances detected noise case last one number cluster 1 would greatful anyone solve following questions appropriate valuesepsilon minpts dataset144 attributes 2001 instances ii computational way else understand possible appropriate parameter values iii please provide documents sites rtree data structure looking early reply thanking advance rafik nb using weka workbench357 version attributes dataset nominal missing values replaced wekafilterunsupervisedattributereplacemissingvalues specific appropriate values datasets depends dataset distribution much number instances attributes especially dbscan actually main critique dbscan correct selection eps minpts values dataset specific need try several values obtain good results first take account datasets distribution perhaps also see parameters mean search paper book site dbscan data youve provided id assume first two runs minpts high last one eps high thus getting single cluster based runs 3rd ones results make sense doesnt mean correct necessarily finally although quite unlikely happen 96 data might actually noise given work 144dimensional space hard tell classified perhaps try attribute selection first clustering maybe normalization standardization values wont get high distances cheers george v next part html attachment scrubbed url httpslistscmswaikatoacnzpipermailwekalistattachments20080306dda11d06attachment0001html qwibesmxhqnsghymphilipscom sat apr 26 154934 2008 message 3 date thu 6 mar 2008 114115 0100 adrienne heinrich subject wekalist weka attribution selection method wrapper iuxxdkqklistscmswaikatoacnz messageid contenttype textplain charsetiso88591 dear using weka preevaluating different classifiers attribute selection methods noticed combination wrapper decision stump available familiar wrapper method therefore wondering combination possible algorithmic reason could explain thank advance input adrienne heinrich adrienne heinrich research scientist video processing analysis group philips research philips research laboratories high tech campus 36 5656 ae eindhoven netherlands phone 31 040 27 42731 fax 31 040 27 42630 email qwibesmxhqnsghymphilipscom next part html attachment scrubbed url httpslistscmswaikatoacnzpipermailwekalistattachments2008030697f23a2battachment0001html fxqfseewaldat sat apr 26 154934 2008 message 4 date thu 6 mar 2008 121331 0100 dr alexander k seewald subject wekalist string kernel lambda pruning iuxxdkqklistscmswaikatoacnz messageid 20080306111331ga28996sdgat contenttype textplain charsetusascii hi josef yes maxsubsequencelength effect pruning ive doublechecked code make sure test dont forget lambda pruning youll need lots memory paper seewald ak kleedorfer f approximation string subsequence kernel practical svm classification redundancy clustering journal advances data analysis classification vol 1 number 3 december 2007 pp 221239 doi 101007s1163400700121 nifty formula compute much referenced supportvectorstringkerneljava source code best alex dr alexander k seewald seewald solutions wwwseewaldat tel 436641106886 fax 43125330332764 cbymjixdbgmailcom sat apr 26 154934 2008 message 5 date thu 6 mar 2008 144509 0000 bruno rené santos subject wekalist represent missing values database iuxxdkqklistscmswaikatoacnz messageid 43as48o19777992343a84go197rn9r234n884841vpr7mailgmailcom contenttype textplain charsetutf8 represent missing value database tried weka turns new value class thanx bruno bruno renã santos lisboa portugal next part html attachment scrubbed url httpslistscmswaikatoacnzpipermailwekalistattachments200803060735bea9attachment0001html t3j3cuvgmailcom sat apr 26 154934 2008 message 6 date thu 6 mar 2008 104901 0500 ashutosh subject wekalist weka 3412 error could find main class messageid 000201c87fa19a5c46a0cf14d3e0com contenttype textplain charsetiso88591 hello list problem somehow circumvented today installed latest version jvm checked bug suggestions previous versions wiki dont apply version classpath already added runwekabat file able open weka doubleclicking wekajar file however maxheap runwekaini getting picked 2000m weka crashes trying load big file addition unable run command command prompt javaw jar xmx2200m classpath wekajar nothing happens run using windows xp professional even cleared everything classpath variable help please thanks next part html attachment scrubbed url httpslistscmswaikatoacnzpipermailwekalistattachments200803066bd2008dattachmenthtml _______________________________________________ wekalist mailing list iuxxdkqklistscmswaikatoacnz httpslistscmswaikatoacnzmailmanlistinfowekalist end wekalist digest vol 61 issue 4 fri 08 aug 2008 072351 0500 wekalist digest vol 61 issue 4