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https://www.researchgate.net/publication/220066279_Dendogram-based_SVM_for_Multi-Class_Classification
This paper presents a new approach called dendogram based support vector machines (DSVM), to treat multi-class problems. First, the method consists to build a taxonomy of classes in an ascendant ...
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3306787/
To achieve this goal, in addition to ANN, support vector machine (SVM) and dendrogram-based hierarchical cluster tree analysis (HCTA) approaches were also used as alternative methods for the classification of the impedance values.Cited by: 1
https://www.mathworks.com/matlabcentral/fileexchange/48632-multiclass-svm-classifier
Mar 15, 2015 · The provided MATLAB functions can be used to train and perform multiclass classification on a data set using a dendrogram-based support vector machine (D-SVM). The two main functions are: Train_DSVM: This is the function to be used for training Classify_DSVM: This is the function to be used for D-SVM classification
https://www.sciencedirect.com/science/article/pii/S0165027015000230
Learning machines and sleeping brains: Automatic sleep stage classification using decision-tree multi-class support vector machines ... a decision-tree-based support vector machine approach for sleep stage classification. ... The provided code can be used to generate a dendrogram based on hierarchical cluster analysis which is then used to ...Cited by: 143
https://in.mathworks.com/help/stats/dendrogram.html
Order of leaf nodes in the dendrogram plot, specified as the comma-separated pair consisting of 'Reorder' and a vector giving the order of nodes in the complete tree. The order vector must be a permutation of the vector 1:M, where M is the number of data points in the original data set. Specify the order from left to right for horizontal ...
https://in.mathworks.com/matlabcentral/fileexchange/48632-multiclass-svm-classifier
Mar 15, 2015 · The provided MATLAB functions can be used to train and perform multiclass classification on a data set using a dendrogram-based support vector machine (D-SVM). The two main functions are: Train_DSVM: This is the function to be used for training Classify_DSVM: This is the function to be used for D-SVM classificationReviews: 14
https://aiaspirant.com/hierarchical-clustering/
Hierarchical clustering generates clusters that are organized into a hierarchical structure. This hierarchical structure can be visualized using a tree-like diagram called dendrogram. Dendrogram records the sequence of merges in case of agglomerative and sequence of splits in case of divisive clustering.
https://www.mdpi.com/2073-8994/7/3/1164/htm
In this paper, we present a nonparametric hierarchical clustering algorithm based on the support vector method [3,4,5,6,7,8,9]. While typical hierarchical clustering algorithms use the pairwise data point distances, we propose to use a one-class support vector machine (OC-SVM) [10,11].Cited by: 2
https://pdfs.semanticscholar.org/d307/f0791dde098fc9572ce73d06e48f38482f6b.pdf
Support vector machine (SVM) Linear Discriminant Analysis (LDA) Hierarchical clustering Machine learning Dendrogram a b s t r a c t Background: Sleep staging is a critical step in a range of electrophysiological signal processing pipelines used in clinical routine as well as in sleep research. Although the results currently achievable with
https://dataaspirant.com/
Data Science Portal for beginners. Reinforcement Learning with R Machine learning algorithms were mainly divided into three main categories.
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