[arXiv] BigDataFr recommends: Preconditioned Data Sparsification for Big Data with Applications to PCA and K-means #datascientist

BigDataFr recommends: Preconditioned Data Sparsification for Big Data with Applications to PCA and K-means Excerpt We analyze a compression scheme for large data sets that randomly keeps a small percentage of the components of each data sample. The benefit is that the output is a sparse matrix and therefore subsequent processing, such as PCA or […]

[Datasciencecentral] BigDataFr recommends: Is Data Science, Like Mathematics, a Universal Language? #datascientist

BigDataFr recommends: Is Data Science, Like Mathematics, a Universal Language? Excerpt I try to keep my eye out for articles written by data scientists in other countries, especially those we don’t hear from all that often. What I’m looking for is any difference in perspective about our field. Are the approaches to data problem solving […]

[Datasciencecentral] BigDataFr recommends: Is Data Science, Like Mathematics, a Universal Language? #datascientist

BigDataFr recommends: Is Data Science, Like Mathematics, a Universal Language? Excerpt I try to keep my eye out for articles written by data scientists in other countries, especially those we don’t hear from all that often. What I’m looking for is any difference in perspective about our field. Are the approaches to data problem solving […]

[arXiv] BigDataFr recommends: Preconditioned Data Sparsification for Big Data with Applications to PCA and K-means

BigDataFr recommends: Preconditioned Data Sparsification for Big Data with Applications to PCA and K-means Excerpt We analyze a compression scheme for large data sets that randomly keeps a small percentage of the components of each data sample. The benefit is that the output is a sparse matrix and therefore subsequent processing, such as PCA or […]

[arXiv] BigDataFr recommends: Making problems tractable on big data via preprocessing with polylog-size output

BigDataFr recommends: Making problems tractable on big data via preprocessing with polylog-size output To provide a dichotomy between those queries that can be made feasible on big data after appropriate preprocessing and those for which preprocessing does not help, Fan et al. developed the ⊓-tractability theory. This theory provides a formal foundation for understanding the […]