'Nn graph' diaporamas de présentation

Fast nearest neighbor searches in high dimensions Sami Sieranoja

Fast nearest neighbor searches in high dimensions Sami Sieranoja. Nearest neighbor problems. Notation: k = number of neighbors, not clusters (k-means). Contents. (exact) Nearest neighbor search in low dimensions What makes higher dimensions (D>20) difficult

417 views • 41 slides

Visual exploratory data analysis: data embedding (DE) & graph visualization (GV)

Big Data Analysis and Data Mining, Paris, 7-8 September, 2017. Visual exploratory data analysis: data embedding (DE) & graph visualization (GV). Witold Dzwinel. Visual data mining (VDM) [Felizardo et al. 2012]. Hypotheses verification ML algorithms adaptation and tuning

347 views • 32 slides

Outlier removal

327 views • 26 slides