Alternatives and similar repositories for COP-Kmeans:

Users that are interested in COP-Kmeans are comparing it to the libraries listed below

• datamole-ai / active-semi-supervised-clustering
  Active semi-supervised clustering algorithms for scikit-learn
  ☆98Updated 4 years ago
• XifengGuo / DEC-keras
  Keras implementation for Deep Embedding Clustering (DEC)
  ☆483Updated last year
• shahsohil / DCC
  This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper
  ☆212Updated 3 years ago
• ashkanmradi / constrained-k-means
  Implementing COP-Kmeans and PC-Kmeans
  ☆14Updated 5 years ago
• Behrouz-Babaki / MinSizeKmeans
  A python implementation of KMeans clustering with minimum cluster size constraint (Bradley et al., 2000)
  ☆84Updated 3 years ago
• ElieAljalbout / Clustering-with-Deep-learning
  Generic implementation for clustering with deep learning : representation learning (DNN) + clustering
  ☆291Updated 6 years ago
• fferroni / DEC-Keras
  Deep Embedding Clustering in Keras
  ☆130Updated 7 years ago
• jlsuarezdiaz / pyDML
  Distance Metric Learning Algorithms for Python
  ☆173Updated 3 years ago
• MaziarMF / deep-k-means
  ☆94Updated 6 years ago
• vlukiyanov / pt-dec
  PyTorch implementation of DEC (Deep Embedding Clustering)
  ☆322Updated 4 years ago
• wmkouw / libTLDA
  Library of transfer learners and domain-adaptive classifiers.
  ☆90Updated 6 years ago
• piiswrong / dec
  ☆470Updated 5 years ago
• jjrob13 / sklearn_cotraining
  An implementation of the Co-Training semi-supervised learning technique from (Blue, Mitchell 1998) that is meant to work well with scikit…
  ☆74Updated 5 years ago
• XifengGuo / DEC-DA
  Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).
  ☆55Updated 5 years ago
• letiantian / kmedoids
  [Unmaintained] The Python implementation of k-medoids.
  ☆125Updated 4 years ago
• boyangumn / DCN-New
  Updated version of DCN
  ☆82Updated 2 years ago
• boyangumn / DCN
  This is outdated -- New version: https://github.com/boyangumn/DCN-New
  ☆93Updated 6 years ago
• dkaterenchuk / ranking_measures
  RankDCG: ranking/ordering evaluation measure
  ☆38Updated 3 years ago
• KlugerLab / SpectralNet
  Deep network that performs spectral clustering
  ☆321Updated last year
• t-sakai-kure / pywsl
  Python codes for weakly-supervised learning
  ☆122Updated 4 years ago
• GT-RIPL / L2C
  Learning to Cluster. A deep clustering strategy.
  ☆313Updated 5 years ago
• iesl / grinch
  Scalable Hierarchical Clustering with Tree Grafting
  ☆28Updated 2 years ago
• rymc / n2d
  A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …
  ☆130Updated last year
• jasonlaska / spherecluster
  Clustering routines for the unit sphere
  ☆336Updated 10 months ago
• LorenzoNorcini / Quasi-Newton-S3VM
  An implementation of the Quasi-Newton Semi-Supervised Support Vector Machine Algorithm
  ☆27Updated 7 years ago
• tmadl / semisup-learn
  Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data
  ☆501Updated 3 years ago
• globality-corp / sklearn-hierarchical-classification
  ☆65Updated 2 years ago
• jhwjhw0123 / Imbalance-XGBoost
  XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
  ☆314Updated last year
• XifengGuo / IDEC
  ☆159Updated 7 years ago
• Deepayan137 / DeepClustering
  A pytorch implementation of the paper Unsupervised Deep Embedding for Clustering Analysis.
  ☆137Updated 5 years ago