000			01159nam a2200217Ia 4500
003			NULRC
005			20250520100534.0
008			250520s9999 xx 000 0 und d
020			_a471847992
040			_cNULRC
050			_aQA 278.6 .J36 1985
100			_aJames, Mike _eauthor
245		0	_aClassification algorithms / _cMike James
260			_aNew York : _bWiley, _cc1985
300			_axii, 209 pages : _billustrations ; _c23 cm.
504			_aIncludes index.
505			_aContents: Classification -- Classification rules -- Practical classification: the normal case -- Classification in action -- Some practical considerations -- Evaluating rules: estimating error rates -- Feature selection: canonical analysis -- Feature selection: variable selection -- Categorical variables and non-parametric methods -- Artificial intelligence and pattern recognition -- App. 1. Matrix theory for statistics -- App. 2. A data generator -- App. 3. Fisher's Iris data.
520			_aThe theory of classification described in this book is essentially concerned with finding an optimal classification rule.
650			_aDISCRIMINANT ANALYSIS
942			_2lcc _cBK
999			_c7262 _d7262