Big Data Algorithms

A simple, unsupervised learning algorithm that is often used with big data sets, often as a way of pre-clustering or classifying into larger categories that other algorithms can further refine. It has some other inherent problems that make it best suited to large-scale, high-level clustering. Big knowledge challenges embody capturing knowledge, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. Big knowledge was originally related to 3 key concepts: volume, variety, and speed.

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