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similarity measures

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Model Perspective
Model Perspective
Jun 4, 2022 · Fundamentals

Master Variable Clustering: Measuring Similarity and Grouping Techniques

This article explains the variable clustering method, why it’s needed to reduce redundant variables, how to measure similarity using correlation coefficients or cosine angles, and describes common distance definitions such as maximum and minimum coefficient methods for effective factor selection.

Data Modelingfactor selectionsimilarity measures
0 likes · 3 min read
Master Variable Clustering: Measuring Similarity and Grouping Techniques
DataFunTalk
DataFunTalk
Sep 24, 2019 · Big Data

Collaborative Filtering: Fundamentals, Similarity Measures, and Distributed Implementation on Spark

This article introduces the basic concepts of collaborative filtering, explains user‑based and item‑based approaches, presents co‑occurrence, Euclidean, Pearson, and Cosine similarity formulas, and provides complete Scala implementations for these metrics and association‑rule mining on the Spark platform, along with practical scalability tips.

ScalaSparkbig-data
0 likes · 17 min read
Collaborative Filtering: Fundamentals, Similarity Measures, and Distributed Implementation on Spark
Qunar Tech Salon
Qunar Tech Salon
Mar 14, 2015 · Artificial Intelligence

Common Distance and Similarity Measures in Machine Learning and Data Mining

This article reviews the most frequently used distance and similarity formulas in machine learning and data mining, explaining their definitions, mathematical properties, practical examples, and when each metric is appropriate for measuring differences between data points or probability distributions.

Data MiningKL divergenceMachine Learning
0 likes · 13 min read
Common Distance and Similarity Measures in Machine Learning and Data Mining