Unsupervised Learning, Machine Learning, K Means, Data, Algorithms.
dimensions you want to keep, where k ≤ d. Use this kxN matrix to transform the samples into the new space. Through the application of dimensionality reduction, clusters in the data may emerge and hence, we will be able to bucket them. PCA helps us in understanding latent interaction between the