Web Reference: Partition data set into clusters based on similarity and store cluster representation (e.g., centroid and diameter) only. Can be very effective if data points are close to each other under a certain norm and choice of space. Understand the steps of cleaning raw data, integrating data, reducing and reshaping data. Be able to apply basic techniques for dealing with common problems with raw data including missing data, inconsistent data, and data from multiple sources. DATA MINING Lecture 4-6: Data Preprocessing Slides Adapted from Jiawei Han et al.Data Mining: Concepts and Techniques, 3rd ed DR. Oluwatosin Oluwadare, 2024 Department of Computer Science , University of Colorado, Colorado springs.
YouTube Excerpt: This tutorial focus on

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Lecture 04 Data Preprocessing Data Net Worth 2026: Salary, Income & Wealth Net Worth & Biography

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