The Image Clustering project leverages the K-Means clustering algorithm to segment an image into ( K ) distinct clusters. This project is implemented in C++ and focuses on partitioning the pixels of ...

Abstract: Clustering or data grouping is a key initial procedure in image processing. In present scenario ... it save times and it is efficient too. With the use of k-mean and it's variant fuzzy ...

Abstract: This study investigates the automatic classification and recognition of tourist attraction images through an enhanced K-means algorithm ... processing and categorization of scenic spot ...

Implementing the K-means clustering algorithm and applying it to compress an image ... repeatedly carries out two steps: Assigning each training example to its closest centroid Recomputing the mean of ...