资讯

Using Machine Learning to Predict User Needs and Provide Personalized Support

1. Demand Prediction Engine: A Technological Leap from "Passive Response" to "Active Anticipation" ...
Semiconductor Engineering2 年

Spark On AWS Graviton2 Best Practices: K-Means Clustering Case Study

This report focuses on how to tune a Spark application to run on a cluster of instances. We define the concepts for the cluster/Spark parameters, and explain how to configure them given a specific set ...
Scientific Research Publishing11 天

Application of the K-Means Algorithm in the Study of Influenza Transmission Patterns ()

K-Means Algorithm, Influenza Transmission, Cluster Analysis, Urban Characteristics Share and Cite: Ye, S. (2025) Application ...
Visual Studio Magazine1 年

Clustering Mixed Categorical and Numeric Data Using k-Means with C#

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on a "very tricky" machine learning technique. Data clustering is the process of grouping data items together so ...
Semiconductor Engineering2 年

Masoud Koleini

This report focuses on how to tune a Spark application to run on a cluster of instances. We define the concepts for the cluster/Spark parameters, and explain how to configure them given a specific set ...