Whisky Clustering with Apache Projects - Groovy, Commons Math, Ignite, Spark, Wayang, Beam and Flink

Explore the fascinating intersection of data analysis and whisky appreciation in this 34-minute conference talk by Dr. Paul King, VP at Apache Groovy. Discover how to use the K-means clustering algorithm from various Apache projects to analyze and identify the perfect single-malt Scotch among 86 top distilleries. Learn about traditional and distributed clustering techniques while gaining insights into the application of Apache Groovy, Commons Math, Ignite, Spark, Wayang, Beam, and Flink for this unique data science challenge. Gain valuable knowledge from Dr. King's extensive experience in open source projects and his expertise in Groovy, GPars, and Gradle.