nmanydataanalysistasks,oneisoftenconfrontedwithveryhighdimensionaldata.Featureselectiontechniquesaredesignedtofindtherelevantfeaturesubsetoftheoriginalfeatureswhichcanfacilitateclustering,classificationandretrieval.Thefeatureselectionproblemisessentiallyacombinatorialoptimizationproblemwhichiscomputationallyexpensive.Traditionalfeatureselectionmethodsaddressthisissuebyselectingthetoprankedfeaturesbasedoncertainscorescomputedindependentlyforeachfeature.Theseapproachesneglectthepossiblecorrelationbetweendifferentfeaturesandthuscannotproduceanoptimalfeaturesubset.InspiredfromtherecentdevelopmentsonmanifoldlearningandL1-regularizedmodelsforsubsetselection,weproposehereanewapproach,called{\emMulti-Cluster/ClassFeatureSelection}(MCFS),forfeatureselection.Specifically,weselectthosefeaturessuchthatthemulti-cluster/classstructureofthedatacanbebestpreserved.Thecorrespondingoptimizationproblemcanbeefficientlysolvedsinceitonlyinvolvesasparseeigen-problemandaL1-regularizedleastsquaresproblem.ItisimportanttonotethatMCFScanbeappliedinsuperised,unsupervisedandsemi-supervisedcases.Ifyoufindthesealgoirthmsuseful,weappreciateitverymuchifyoucanciteourfollowingworks:PapersDengCai,ChiyuanZhang,XiaofeiHe,"UnsupervisedFeatureSelectionforMulti-clusterData",16thACMSIGKDDConferenceonKnowledgeDiscoveryandDataMining(KDD'10),July2010.BibtexsourceXiaofeiHe,DengCai,andParthaNiyogi,"LaplacianScoreforFeatureSelection",AdvancesinNeuralInformationProcessingSystems18(NIPS'05),Vancouver,Canada,2005Bibtexsource

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WeinbergdistillstheessencefromvonBertalanffy'sclassicandmanagestopresentitinaveryaccessiblefashion.Thebookhasbeenoutofprintforquiteawhilesoitisgreattoseeanewedition.Themessageandinformationcontainedinhere,althoughoriginallypublishedin1975,isnowmorerelevantthanever.Weinbergcoversmanyaspectsofsystemstheorybeginningwiththemainstumblingblockwiththepresentscientificparadigm:theideathattheuniverseismechanistic.HistreatmentismuchmoregeneralthanRobertRosen'sin"LifeItself"butstillconveyswhythemechanisticnotionisflawed.Hethenoutlinesthegeneralsystemstheoryapproachbeforeleadingintotheideathatasystemissimplyawayoflookingattheworld.Hethenoutlinestheprincipleofindifference.Thisleadsstraightintotwosectionsoutliningvariousaspectsofmakingobservations.Finallyhediscussesbehaviourandthensomegeneralsystemsquestions.Throughoutthebookheusesmanyexamplesfromdisparatefieldsinconjunctionwithquestionsforfurtherresearch.Itisgreattoseesomeonewhodoesn'tpreachsystemsbutactuallyusestheideas.Definitelyamust-readaswedecidedhowtosolvethemyriadofissuesbeforeus.

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