Howtosignalprocessing
- Can k-means be used for image classification?
- Can k-means be used for image compression?
- How to do clustering on images?
Can k-means be used for image classification?
Yes! K-Means Clustering can be used for Image Classification of MNIST dataset. Here's how. K-means clustering is an unsupervised learning algorithm which aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest centroid.
Can k-means be used for image compression?
Storing the centroid and the index of the centroid of each pixel, so it not need to keep all the original data. Based on the results and discussions presented above, the conclusions are obtained as below: (1) K-means algorithm can be used to compress images.
How to do clustering on images?
Clustering of images is a multi-step process for which the steps are to pre-process the images, extract the features, cluster the images on similarity, and evaluate for the optimal number of clusters using a measure of goodness.
