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Automatic clustering algorithms are algorithms that can perform clustering without prior knowledge of data sets. In contrast with other cluster analysis techniques, automatic clustering algorithms can determine the optimal number of clusters even in the presence of noise and outlier points. [1] [needs context]
MALLET is an integrated collection of Java code useful for statistical natural language processing, document classification, cluster analysis, information extraction, topic modeling and other machine learning applications to text.
The average silhouette of the data is another useful criterion for assessing the natural number of clusters. The silhouette of a data instance is a measure of how closely it is matched to data within its cluster and how loosely it is matched to data of the neighboring cluster, i.e., the cluster whose average distance from the datum is lowest. [8]
Software analysis patterns or analysis patterns in software engineering are conceptual models, which capture an abstraction of a situation that can often be encountered in modelling. An analysis pattern can be represented as "a group of related, generic objects ( meta-classes ) with stereotypical attributes (data definitions), behaviors (method ...
In statistics and data mining, affinity propagation (AP) is a clustering algorithm based on the concept of "message passing" between data points. [1] Unlike clustering algorithms such as k-means or k-medoids, affinity propagation does not require the number of clusters to be determined or estimated before running the algorithm.
A code quality analysis tool that uses static code analysis. RIPS: 2020-02-17 (3.4) No; proprietary — — Java — — — PHP A static code analysis solution with many integration options for the automated detection of complex security vulnerabilities. SAST Online: 2022-03-07 (1.1.0) No; proprietary — — Java — — — Kotlin, APK
Join-patterns provides a way to write concurrent, parallel and distributed computer programs by message passing. Compared to the use of threads and locks, this is a high level programming model using communication constructs model to abstract the complexity of concurrent environment and to allow scalability .
Soot provides four intermediate representations for use through its API for other analysis programs to access and build upon: [2] Baf: a near bytecode representation. Jimple: a simplified version of Java source code that has a maximum of three components per statement. Shimple: an SSA variation of Jimple (similar to GIMPLE).