Search results
Results from the WOW.Com Content Network
Scatterplot of the data set. The Iris flower data set or Fisher's Iris data set is a multivariate data set used and made famous by the British statistician and biologist Ronald Fisher in his 1936 paper The use of multiple measurements in taxonomic problems as an example of linear discriminant analysis. [1]
In 1936, he introduced the Iris flower data set as an example of discriminant analysis. [66] In his 1937 paper The wave of advance of advantageous genes he proposed Fisher's equation in the context of population dynamics to describe the spatial spread of an advantageous allele, and explored its travelling wave solutions. [67]
Neural network promoter prediction: Prokaryotes, Eukaryotes [38] NNSPLICE: Neural network splice site prediction: Drosophila, Human [39] ORFfinder: Graphical analysis tool to find all open reading frames: Prokaryotes, Eukaryotes [40] Regulatory Sequence Analysis Tools: Series of modular computer programs to detect regulatory signals in non ...
High performance GPU-accelerated ab initio molecular dynamics and TD/DFT software package for very large molecular or even nanoscale systems. Runs on NVIDIA GPUs and 64-bit Linux, has heavily optimized CUDA code. Proprietary, trial licenses available PetaChem LLC: TINKER: I Yes Yes Yes Yes I I Yes Yes Software tools for molecular design-Tinker ...
Main page; Contents; Current events; Random article; About Wikipedia; Contact us
Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!
Deutsch: Iris flower data set, mit dem k-Means-Algorithmus analysiert (links) und die wahren Spezien im Datensatz (rechts). Da k-means nicht deterministisch ist, variieren die Ergebnisse. Die Clusterzentren sind durch größere, halbtransparente Markierungen eingezeichnet.
The tool can also determine how much money you'll have when your time comes. Researchers analyzed aspects of a person’s life story between 2008 and 2016, with the model seeking patterns in the data.