Image/Document Clustering

7 papers with code • 8 benchmarks • 8 datasets

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Use these libraries to find Image/Document Clustering models and implementations

Divide-and-conquer based Large-Scale Spectral Clustering

Li-Hongmin/MyPaperWithCode 2 May 2021

In this paper, we propose a divide-and-conquer based large-scale spectral clustering method to strike a good balance between efficiency and effectiveness.

21
02 May 2021

Divide-and-conquer based Large-Scale Spectral Clustering

Li-Hongmin/MyPaperWithCode 30 Apr 2021

In this paper, we propose a divide-and-conquer based large-scale spectral clustering method to strike a good balance between efficiency and effectiveness.

21
30 Apr 2021

Ensemble Learning for Spectral Clustering

Li-Hongmin/MyPaperWithCode 20 Nov 2020

Instead of directly using the clustering results obtained from each base spectral clustering algorithm, the proposed method learns a robust presentation of graph Laplacian by ensemble learning from the spectral embedding of each base spectral clustering algorithm.

21
20 Nov 2020

Deep Embedded SOM: Joint Representation Learning and Self-Organization

FlorentF9/DESOM ESANN 2019 2019

In the wake of recent advances in joint clustering and deep learning, we introduce the Deep Embedded Self-Organizing Map, a model that jointly learns representations and the code vectors of a self-organizing map.

87
24 Apr 2019

An Internal Validity Index Based on Density-Involved Distance

hulianyu/CVDD 22 Mar 2019

One reason is that the measure of cluster separation does not consider the impact of outliers and neighborhood clusters.

16
22 Mar 2019

Robust Graph Learning from Noisy Data

FaceOnLive/Realtime-Background-Changer-SDK-Android 17 Dec 2018

The proposed model is able to boost the performance of data clustering, semisupervised classification, and data recovery significantly, primarily due to two key factors: 1) enhanced low-rank recovery by exploiting the graph smoothness assumption, 2) improved graph construction by exploiting clean data recovered by robust PCA.

101
17 Dec 2018

Scalable Spectral Clustering Using Random Binning Features

IBM/SpectralClustering_RandomBinning 25 May 2018

Moreover, our method exhibits linear scalability in both the number of data samples and the number of RB features.

12
25 May 2018