<p><p><i>Core Concepts in Data Analysis: Summarization, Correlation and Visualization</i><b></b>provides in-depth descriptions of those data analysis approaches that either summarize data (principal component analysis and clustering, including hierarchical and network clustering) or correlate differ
Core Concepts in Data Analysis: Summarization, Correlation and Visualization
β Scribed by Mirkin, Boris
- Publisher
- Springer London
- Year
- 2019
- Tongue
- English
- Leaves
- 1
- Series
- Undergraduate topics in computer science
- Edition
- 2nd edition
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Subjects
Cluster-Analyse;Datenanalyse;Korrelationsanalyse;Visualisierung;Lehrbuch
π SIMILAR VOLUMES
<p><p><i>Core Concepts in Data Analysis: Summarization, Correlation and Visualization</i><b></b>provides in-depth descriptions of those data analysis approaches that either summarize data (principal component analysis and clustering, including hierarchical and network clustering) or correlate differ
Core Concepts in Data Analysis: Summarization, Correlation and Visualization provides in-depth descriptions of those data analysis approaches that either summarize data (principal component analysis and clustering, including hierarchical and network clustering) or correlate different aspects of data
<p><p><i>Core Concepts in Data Analysis: Summarization, Correlation and Visualization</i><b></b>provides in-depth descriptions of those data analysis approaches that either summarize data (principal component analysis and clustering, including hierarchical and network clustering) or correlate differ
<p><p>This text examines the goals of data analysis with respect to enhancing knowledge, and identifies data summarization and correlation analysis as the core issues. Data summarization, both quantitative and categorical, is treated within the encoder-decoder paradigm bringing forward a number of m