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10 search results found

Clustering_algorithms_from_scratch ⭐ 170

Implementing Clustering Algorithms from scratch in MATLAB and Python

Deep Learning For Clustering In Bioinformatics ⭐ 62

Deep Learning-based Clustering Approaches for Bioinformatics

Pinstimation ⭐ 25

A comprehensive bundle of utilities for the estimation of probability of informed trading models: original PIN in Easley and O'Hara (1992) and Easley et al. (1996); Multilayer PIN (MPIN) in Ersan (2016); Adjusted PIN (AdjPIN) in Duarte and Young (2009); and volume-synchronized PIN (VPIN) in Easley et al. (2011, 2012). Implementations of various estimation methods suggested in the literature are included. Additional compelling features comprise posterior probabilities, an implementation of an exp

CRATE: Accurate and efficient clustering-based nonlinear analysis of heterogeneous materials through computational homogenization

Implementation of CDR - Interactive Visual Cluster Analysis by Contrastive Dimensionality Reduction

Clusters Features ⭐ 8

The Clusters-Features package allows data science users to compute high-level linear algebra operations on any type of data set. It computes approximatively 40 internal evaluation scores such as Davies-Bouldin Index, C Index, Dunn and its Generalized Indexes and many more ! Other features are also available to evaluate the clustering quality.

Drought_clusters ⭐ 7

Code used to identify and analyze drought clusters from gridded data.

Hdbscan Cpp ⭐ 6

Fast and Efficient Implementation of HDBSCAN in C++ using STL

Mep Orthogonal Nmf ⭐ 6

Clustering and resource allocation using Deterministic Annealing Approach and Orthogonal Non-negative Matrix Factorization O-(NMF)

Clusterconfusion ⭐ 5

Clustering validation with ROC Curves

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