Li, Y.K. and Fu, K.S.: „Automatic Classification of Cervical Cell using a Binary Tree Classifier”, Pattern Recognition, vol. 16, pp. 69–80, 1983.Lin, Y. K. and King-Sun Fu. Automatic classification of cerv
A phylogeny is described as a binary tree in which the leaves of the tree are the observed values of a given site in the different species and internal nodes take the values of the site for putative ancestral species. From: Algebraic and Discrete Mathematical Methods for Modern Biology, 2015...
tree larger than w e in tend to use and prune it bac k [1,9,19] on the basis of a v alidation sample or in ternal v alidation (t ypically cross-v alidation) as in CAR T and SUR V ANAL; or on the basis of a bit rate constrain t ([9,19,3-6,18,22]) as in PTSV...
Grow a classification tree using the ionosphere data set. Get load ionosphere tc = fitctree(X,Y) tc = ClassificationTree ResponseName: 'Y' CategoricalPredictors: [] ClassNames: {'b' 'g'} ScoreTransform: 'none' NumObservations: 351 Properties, Methods Control...
A ClassificationTreeCoderConfigurer object is a coder configurer of a binary decision tree model for multiclass classification (ClassificationTree or CompactClassificationTree).
AClassificationTreeobject represents a decision tree with binary splits for classification. An object of this class can predict responses for new data usingpredict. The object contains the data used for training, so it can also compute resubstitution predictions usingresubPredict. ...
multi-class classificationSummary: The paper offers an algorithm (SNN-tree) that extends the binary tree search algorithm so that it can deal with distorted input vectors. Perceptrons are the tree nodes. The algorithm features an iterative solution search and stopping criterion. Unlike the SNN-tree...
Grow a classification tree using the ionosphere data set. Get load ionosphere tc = fitctree(X,Y) tc = ClassificationTree ResponseName: 'Y' CategoricalPredictors: [] ClassNames: {'b' 'g'} ScoreTransform: 'none' NumObservations: 351 Properties, Methods Control...
MULTIPLE BINARY DECISION TREE CLASSIFIERS Multiple binary decision tree classifiers - Shlien - 1990 () Citation Context ...more robust classification decisions. Multiple classifier integration has ... SHLIEN - 《Patt Recog》 被引量: 63发表: 1990年 The classification of joint analog and digital mod...
Chakraborty and Mali [81] proposed a superpixel-based fuzzy modified flower pollination algorithm for better feature selection and K-means for classification. The proposed method outperformed other compared methods. 7.6 Decision tree (DT) DT is a supervised classifier that works on the basis of ...