Improving Clustering Method Performance Using K-Means, Mini Batch K-Means, BIRCH and Spectral

The most pressing problem of the $k$ -Nearest Neighbor (KNN) classification method is voting technology, which will lead to poor accuracy of some randomly distributed complex data sets. To overcome the weakness of KNN, we added a step before the KNN classification phase. We developed a new schema fo... View More