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Machine learning is becoming increasingly popular in a range of fields. Big data helps machine learning algorithms better timely and accurate recommendations than ever before. Machine learning big data phases and subsystems point the way to comparable issues and threats, as well as to associated research in various of previously new of unexplored areas. In latest days, data stream mining has become a popular research topic. The biggest challenge in streaming data mining is extracting important information directly from a vast, persistent, and changeable data stream in just one scan. Clustering is a powerful method for resolving this issue. Financial transactions, electronic communications, and other fields can benefit from data stream clustering. This research examines approaches for synthesizing enormous data streams, including projection clusters for high-dimensional data, scalability, and spreading …