Validating cluster structures in data mining tasks
Explains general concepts behind development with Oracle Database, introduces basic features of SQL and PL/SQL, and provides references to in-depth information elsewhere in the Oracle Database library.
Contains reference information about and step-by-step instructions for using the replication management API, which is a set of PL/SQL packages for setting up and managing an Advanced Replication environment.
Besides the term clustering, there are a number of terms with similar meanings, including automatic classification, numerical taxonomy, botryology (from Greek βότρυς "grape") and typological analysis.
is a standard tool in analytics and is an important feature for helping you develop and fine-tune data mining models.
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Provides a single source reference for administering Oracle Database in a small to midsize environment, using the graphical user interface of Oracle Enterprise Manager Database Control.
This wealth of choices means that you can easily produce many sets of different results that must then be compared and analyzed.Cluster analysis as such is not an automatic task, but an iterative process of knowledge discovery or interactive multi-objective optimization that involves trial and failure.It is often necessary to modify data preprocessing and model parameters until the result achieves the desired properties.Your activity appears to be coming from some type of automated process.To ensure the availability of the Digital Library we can not allow these types of requests to continue.