This chapter reviews software that is divided into five categories: collections of subroutines and algorithms; general statistical packages that include clustering methods; cluster analysis packages; simple programs that perform one type of clustering, and special purpose clustering programs, including novel...
Other approaches rely on using different clustering algorithms [10] or classification parameters [9], [10]. Some have defined discriminant chemical markers or characteristic peaks [1], [9] that are used in particle assignment. In other cases data are even modified prior to classification [4], ...
All of the common predictive tree programs are technically described as being recursive divisive algorithms, which is a fancy way of saying that they: Find the variable that best predicts what is being predicted. Split the sample into groups that are relatively similar in terms of this variable ...
.K. & Dubes, R.C., 1988. Algorithms for clustering data, Prentice-Hall, Inc.. [7] Johnson, S.C., 1967. Hierarchical clustering schemes. Psychometrika, 32(3), pp.241–254. [8] Edelbrock, C., 1979. Mixture model tests of hierarchical clustering algorithms: the problem of classifying ...
Rauzy A (1993) New algorithms for fault trees analysis. Reliab Eng Syst Saf 5(59):203–211 Article Google Scholar Rodrigues GN, Rosenblum DS, Uchitel S (2005) Reliability prediction in model-driven development. In: Briand LC, Williams C (eds) Model driven engineering languages and systems,...
go-cluster - Go implementation of the k-modes and k-prototypes clustering algorithms. go-deep - A feature-rich neural network library in Go. go-fann - Go bindings for Fast Artificial Neural Networks(FANN) library. go-featureprocessing - Fast and convenient feature processing for low latency ma...
Van der Maaten, L., Accelerating t-SNE using Tree-Based Algorithms. Journal of Machine Learning Research 15, 3221-3245 (2014).Yu, D., Huber, W. & Vitek, O., Shrinkage estimation of dispersion in Negative Binomial models for RNA-seq experiments with small sample size. Bioinformatics 29, ...
Intelligent Operations: Advancing the Transformation from Network-Centric to Service-Centric Operations AI and network digital twin are driving the transformation of the O&M mode from network-centric to service-centric. In MBB O&M scenarios, the AI-based simulation and evaluation algorithms can automa...
Intel® oneAPI DPC++ Library(oneDPL) accelerates GPU kernels up to 4x3for algorithms including reduce, scan and many other functions. Range-based algorithms with over 20 new C++20 standard ranges and views accelerate highly parallel code execution on multiarchitecture devices. ...
MemTest86 is the program for memory testing. For testing the RAM, it makes use of comprehensive algorithms and test patterns. It can use 13 different algorithms and supports the latest technologies. Features: It has features like report file generation and customizable reports. ...