Documentation at https://melpa.org/#/project-mode-line-tag

Display information about a buffer's project (a "project tag") in its mode line.

This package provides a clustering approach applicable to every projection method is proposed here. The two-dimensional scatter plot of any projection method can construct a topographic map which displays unapparent data structures by using distance and density information of the data. The generalized U*-matrix renders this visualization in the form of a topographic map, which can be used to automatically define the clusters of high-dimensional data. The whole system is based on Thrun and Ultsch, "Using Projection based Clustering to Find Distance and Density based Clusters in High-Dimensional Data" <DOI:10.1007/s00357-020-09373-2>. Selecting the correct projection method will result in a visualization in which mountains surround each cluster. The number of clusters can be determined by counting valleys on the topographic map. Most projection methods are wrappers for already available methods in R. By contrast, the neighbor retrieval visualizer (NeRV) is based on C++ source code of the dredviz software package, and the Curvilinear Component Analysis (CCA) is translated from MATLAB ('SOM Toolbox 2.0) to R.

Documentation at https://melpa.org/#/projectile-trailblazer

Documentation at https://melpa.org/#/project-persist-drawer

Documentation at https://melpa.org/#/projection-multi-embark

Documentation at https://melpa.org/#/dashboard-project-status

Documentation at https://melpa.org/#/projectile-git-autofetch

Documentation at https://melpa.org/#/perspective-project-bridge

Documentation at https://melpa.org/#/persp-mode-projectile-bridge

This package provides a library library for serving federated avatars.