Search Results for "manhattan"

...A graphical user interface (GUI) provides various visualization tools, such as heat maps and 2D plots. Several hierarchical clustering algorithms (e.g., single linkage, average linkage, Wards linkage), different distance measures (e.g., Euclidean distance, Manhattan distance, Pearson distance), and various normalization techniques are implemented. Many additional functions like zooming, searching for proteins, image export, and automatic file format recognition support intuitive handling for biologists. Giese, et al. NOVA: a software to analyze complexome profiling data. Bioinformatics, 2015, 31(3): 440-441

...Dynamic Programming Heuristics i. Euclidean Distance ii. Euclidean Distance(+) iii. Euclidean Distance(*) iv. Euclidean Distance Squared v. Manhattan Distance vi. Chebyshev Distance

...CAPLET can directly handle GDS2 layout files into capacitance matrices in both GUI and command line interfaces. The internal extraction algorithm is specialized for VLSI interconnect structures but not exclusively, as long as the structure is of Manhattan geometry and embedded in a uniform dielectric material.

Orthogonal (a.k.a manhattan) line routing is a technique for rendering a human-readable hierarchical diagram. Manhattanlines implements an orthogonal line routing algorithm that minimizes line length and crossings.

NeuroBox is an .NET OOP Library to generate, propagate and train complex neuronal networks with technologies like backpropagation with weight decay, momentum term, manhattan training, flatspot elimination etc.