Classification of images using neural network and clustering is done for a dataset .The dataset contains 250 images

Fresh water Swim Beach dataset provides a comprehensive overview of water quality at various freshwater swim beaches, highlighting the need for continuous monitoring and analysis. The results from the K-means clustering will support efforts to maintain safe recreational water conditions and promote public health. K-means clustering was employed on this dataset to categorize beaches based on their water quality metrics. By grouping similar observations, the analysis aims to: Identify patterns and trends in water quality across different beaches. Determine the relationship between water temperature and contamination levels. Provide actionable insights for beach management authorities to enhance public safety measures.

Converting images into grayscale images and performing k-clustering neural network and logistic regression

In the context of the Indian Premier League (IPL) 2018 player performance dataset, clustering involves grouping players based on their similar performance metrics, such as batting and bowling statistics. The idea is to identify natural groupings among players with similar performance characteristics.