This book describes exciting new opportunities for utilizing robust graph representations of data with common machine learning algorithms. Graphs can model additional information which is often not ...

The CytoCommunity algorithm for TCN indentification can be used in either ... KNN_K: The K value used in the construction of the K nearest neighbor graph (cellular spatial graph) for each sample/image ...

In a network, pairs of individual elements, or nodes, connect to each other; those connections can represent a sprawling system with myriad individual links. A hypergraph goes deeper: It gives ...

This project explores the implementation of K-Nearest Neighbor algorithm from scratch, without the usage of any machine learning API, to classify the age of abalone using the Abalone dataset provided ...

In this paper, a comparison of the performance of two classification algorithms (Support Vector Machine (SVM) and K Nearest Neighbor (k-NN)) for classifying the American English language was made. The ...

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