scaling
(Package: KODAMA) :
Scaling methods
Collection of Different Scaling Methods.
● Data Source:
CranContrib
● Keywords: scaling
● Alias: scaling
●
0 images
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spirals
(Package: KODAMA) :
Spirals Data Set Generator
Produce a data set of spiral clusters.
● Data Source:
CranContrib
● Keywords: dataset
● Alias: spirals
●
1 images
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helicoid
(Package: KODAMA) :
Helicoid Data Set Generator
This function creates a data set on the data points are distribuited on a Ulisse Dini's surface.
● Data Source:
CranContrib
● Keywords: dataset
● Alias: helicoid
●
0 images
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kfold
(Package: KODAMA) :
k-Fold Partitioning
This function computes the k-fold partitioning of a vector. Each record in a vector is randomly assigned to a group. Group numbers are between 1 and k.
● Data Source:
CranContrib
● Keywords: partitioning
● Alias: kfold
●
0 images
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PLS.SVM.CV
(Package: KODAMA) :
Cross-Validation with Support Vector Machine.
This is function performs a 10-fold cross validation on a given data set using the Support Vector Machine (SVM) classifier. The SVM classifier is performed on the score of the Partial least squares (PLS). The output is a vector of predicted labels.
● Data Source:
CranContrib
● Keywords: croos-validation
● Alias: PLS.SVM.CV
●
0 images
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KODAMA
(Package: KODAMA) :
Knowledge Discovery by Accuracy Maximization
KODAMA (KnOwledge Discovery by Accuracy MAximization) is an unsupervised and semisupervised learning algorithm that performs feature extraction from noisy and high-dimensional data. Unlike other data mining methods, the peculiarity of KODAMA is that it is driven by an integrated procedure of cross validation of the results.
● Data Source:
CranContrib
● Keywords:
● Alias: KODAMA
●
0 images
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KNN.CV
(Package: KODAMA) :
Cross-Validation with k-Nearest Neighbors Classifier.
This is function performs a 10-fold cross validation on a given data set using k nearest neighbors (kNN) classifier. The output is a vector of predicted labels.
● Data Source:
CranContrib
● Keywords: croos-validation
● Alias: KNN.CV
●
0 images
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core
(Package: KODAMA) :
Maximization of Cross-Validateed Accuracy Methods
This function performs the maximization of cross-validated accuracy by an iterative process
● Data Source:
CranContrib
● Keywords: maximization
● Alias: core
●
0 images
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knn.probability
(Package: KODAMA) :
KNN Prediction Probability Routine using Pre-Calculated Distances
K-Nearest Neighbor prediction probability method which uses the distances calculated by knn.dist. For predictions (not probabilities) see knn.predict.
● Data Source:
CranContrib
● Keywords: probability
● Alias: knn.probability
●
0 images
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dinisurface
(Package: KODAMA) :
Ulisse Dini Data Set Generator
This function creates a data set on the data points are distribuited on a Ulisse Dini's surface.
● Data Source:
CranContrib
● Keywords: dataset
● Alias: dinisurface
●
0 images
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