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Lampros Mouselimis

20 Packages
Package ⇅ Year Total~Citation
ClusterR: Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans, K-Medoids and Affinity Propagation Clustering (Version 1.3.3)Maintainer

2016 22
CopernicusDEM: Copernicus Digital Elevation Models (Version 1.0.4)Maintainer

2021 2
elmNNRcpp: The Extreme Learning Machine Algorithm (Version 1.0.4)Maintainer

2018 2
fastGLCM: 'GLCM' Texture Features (Version 1.0.2)Maintainer

2022 0
fastText: Efficient Learning of Word Representations and Sentence Classification (Version 1.0.4)Maintainer

2021 0
fitbitViz: 'Fitbit' Visualizations (Version 1.0.6)Maintainer

2021 1
fmf: Fast Class Noise Detector with Multi-Factor-Based Learning (Version 1.1.1)Contributor

2020 0
fuzzywuzzyR: Fuzzy String Matching (Version 1.0.5)Maintainer

2017 0
geojsonR: A GeoJson Processing Toolkit (Version 1.1.1)Maintainer

2017 1
GeoMongo: Geospatial Queries Using 'PyMongo' (Version 1.0.3)Maintainer

2017 0
IceSat2R: ICESat-2 Altimeter Data using R (Version 1.0.6)Maintainer

2022 0
KernelKnn: Kernel k Nearest Neighbors (Version 1.1.5)Maintainer

2016 6
nmslibR: Non Metric Space (Approximate) Library (Version 1.0.7)Maintainer

2018 0
OpenImageR: An Image Processing Toolkit (Version 1.3.0)Maintainer

2016 11
PlanetNICFI: Processing of the 'Planet NICFI' Satellite Imagery (Version 1.0.5)Maintainer

2021 0
RGF: Regularized Greedy Forest (Version 1.1.1)Maintainer

2018 0
SuperpixelImageSegmentation: Superpixel Image Segmentation (Version 1.0.5)Maintainer

2018 2
textTinyR: Text Processing for Small or Big Data Files (Version 1.1.8)Maintainer

2017 1
VMDecomp: Variational Mode Decomposition (Version 1.0.1)Maintainer

2022 4
VMDML: Variational Mode Decomposition Based Machine Learning Models (Version 0.1.1)Contributor

2022 0

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.

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