Core Data Analysis: Summarization, Correlation, and Visualiz
Core Data Analysis: Summarization, Correlation, and Visualiz
Features:
* An in-depth presentation of K-means partitioning including a corresponding Pythagorean decomposition of the data scatter.
* Advice regarding such issues as clustering of categorical and mixed scale data, similarity and network data, interpretation aids, anomalous clusters, the number of clusters, etc.
* Thorough attention to data-driven modelling including a number of mathematically stated relations between statistical and geometrical concepts including those between goodness-of-fit criteria for decision trees and data standardization, similarity and consensus clustering, modularity clustering and uniform partitioning.
New edition highlights:
* Inclusion of ranking issues such as Google PageRank, linear stratification and tied rankings median, consensus clustering, semi-average clustering, one-cluster clustering
* Restructured to make the logics more straightforward and sections self-contained
Core Data Analysis: Summarization, Correlation and Visualization is aimed at those who are eager to participate in developing the field as well as appealing to novices and practitioners.
PRP: 448.72 Lei
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403.85Lei
403.85Lei
448.72 LeiLivrare in 2-4 saptamani
Descrierea produsului
Features:
* An in-depth presentation of K-means partitioning including a corresponding Pythagorean decomposition of the data scatter.
* Advice regarding such issues as clustering of categorical and mixed scale data, similarity and network data, interpretation aids, anomalous clusters, the number of clusters, etc.
* Thorough attention to data-driven modelling including a number of mathematically stated relations between statistical and geometrical concepts including those between goodness-of-fit criteria for decision trees and data standardization, similarity and consensus clustering, modularity clustering and uniform partitioning.
New edition highlights:
* Inclusion of ranking issues such as Google PageRank, linear stratification and tied rankings median, consensus clustering, semi-average clustering, one-cluster clustering
* Restructured to make the logics more straightforward and sections self-contained
Core Data Analysis: Summarization, Correlation and Visualization is aimed at those who are eager to participate in developing the field as well as appealing to novices and practitioners.
Detaliile produsului