papers_with_code

This contains some papers with respect to classification, clustering and etc.

2020

Title	Conference/Journal	Code
Ultra-Scalable Spectral Clustering and Ensemble Clustering	TKDE	Code

2019

Title	Conference/Journal	Code
similarity learning via kernel preserving embedding	AAAI	Code
spectral clustering of signed graphs via matrix power means	ICML	Code
model-based synthetic sampling for imbalanced data	TKDE	Code
K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters	KDD	Code
The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering	AAAI	Code
Similarity Preserving Representation Learning for Time Series Clustering	IJCAI	Code
Supervised Hierarchical Clustering with Exponential Linkage	ICML	Code
Subspace Clustering via Good Neighbors	TPAMI	Code

2018

Title	Conference/Journal	Code
unified spectral clustering with optimal graph	AAAI	Code
scalable spectral clustering using random binning features	KDD	Code
spectral clustering of large-scale data by directly solving normalized cut	KDD	Code
understanding regularized spectral clustering via graph conductance	NIPS	Code
Phase Transitions and a Model Order Selection Criterion for Spectral Graph Clustering	IEEE Transactions on Signal Processing	Code
Multiview clustering via adaptively weighted procrustes	KDD	Code
On the Spectrum of Random Features Maps of High Dimensional Data	ICML	Code

2017

Title	Conference/Journal	Code
semi-supervised feature selection via rescaled linear regression	IJCAI	Code
unsupervised large graph embedding	AAAI	Code
robust spectral clustering for noisy data-modeling sparse corruptions improves latent embeddings	KDD	Code
twin learning for similarity and clustering: a unified kernel approach	AAAI	Code
AMOS: An automated model order selection algorithm for spectral graph clustering	ICASSP	Code
Multiclass Capped Lp-Norm SVM for Robust Classifications	AAAI	Code
A Hierarchical Algorithm for Extreme Clustering	KDD	Code
scalable normalized cut with improved spectral rotation	IJCAI	Code

2016

Title	Conference/Journal	Code
the constrained laplacian rank algorithm for graph-based clustering	AAAI	Code
unsupervised feature selection with structured graph optimization	AAAI	Code
compressive spectral clustering	ICML	Code
FUSE: Full Spectral Clustering	KDD	Code
cost-sensitive boosting algorithms: do we really need them?	Machine Learning	Code
Multiple Kernel k-Means Clustering with Matrix-Induced Regularization	AAAI	Code
Structured Doubly Stochastic Matrix for Graph Based Clustering	KDD	Code

2015

Title	Conference/Journal	Code
a new simplex sparse learning model to measure data similarity for clustering	IJCAI	Code
unsupervised feature selection with adaptive structure learning	KDD	Code
robust multiple kernel K-means using l21 norm	IJCAI	Code

2014

Title	Conference/Journal	Code
clustering and projected clustering with adaptive neighbors	KDD	Code
constructing robust affinity graphs for spectral clustering	CVPR	Code

2013

Title	Conference/Journal	Code
spectral rotation versus K-means in spectral clustering	AAAI	Code
large-scale spectral clustering on graphs	AAAI	Code

2012

Title	Conference/Journal	Code
		Code

2011

Title	Conference/Journal	Code
		Code

2010

Title	Conference/Journal	Code
efficient and robust feature selection via joint L21 norms minimization	NIPS	Code
power iteration clustering	ICML	Code
making large-scale nystrom approximation possible	ICML	Code
large graph construction for scalable semi-supervised learning	ICML	Code

2009

Title	Conference/Journal	Code
fast approximate spectral clustering	KDD	Code

2008

Title	Conference/Journal	Code
		Code

2007

Title	Conference/Journal	Code
		Code

2006

Title	Conference/Journal	Code
		Code

2005

Title	Conference/Journal	Code
		Code

2004

Title	Conference/Journal	Code
		Code

2003

Title	Conference/Journal	Code
		Code

2002

Title	Conference/Journal	Code
on spectral clustering-analysis and algorithm	NIPS	Code

2001

Title	Conference/Journal	Code
		Code

2000

Title	Conference/Journal	Code
		Code