TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK
Image Clustering	CIFAR-10	DEC	Accuracy	0.301	# 27
Image Clustering	CIFAR-10	DEC	NMI	0.25	# 23
Image Clustering	CIFAR-10	DEC	Train set	Train+Test	# 1
Image Clustering	CIFAR-10	DEC	ARI	0.161	# 24
Image Clustering	CIFAR-10	DEC	Backbone	Custom	# 1
Image Clustering	CIFAR-100	DEC	Accuracy	0.185	# 20
Image Clustering	CIFAR-100	DEC	NMI	0.136	# 17
Image Clustering	CIFAR-100	DEC	Train Set	Train+Test	# 1
Image Clustering	CMU-PIE	DEC (KL based)	NMI	0.924	# 4
Image Clustering	CMU-PIE	DEC (KL based)	Accuracy	0.801	# 3
Image Clustering	ImageNet-10	DEC	Accuracy	0.381	# 13
Image Clustering	ImageNet-10	DEC	NMI	0.282	# 13
Image Clustering	Imagenet-dog-15	DEC	Accuracy	0.195	# 15
Image Clustering	Imagenet-dog-15	DEC	NMI	0.122	# 15
Image Clustering	STL-10	DEC	Accuracy	0.359	# 21
Image Clustering	STL-10	DEC	NMI	0.276	# 18
Image Clustering	STL-10	DEC	Train Split	Train+Test	# 1
Unsupervised Image Classification	SVHN	DEC	Acc	11.90	# 4
Unsupervised Image Classification	SVHN	DEC	# of clusters (k)	10	# 1
Image Clustering	Tiny-ImageNet	DEC	Accuracy	0.037	# 10
Image Clustering	Tiny-ImageNet	DEC	NMI	0.115	# 10
Image Clustering	YouTube Faces DB	DEC (KL based)	NMI	0.446	# 4
Image Clustering	YouTube Faces DB	DEC (KL based)	Accuracy	0.371	# 3

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Unsupervised Deep Embedding for Clustering Analysis

19 Nov 2015 · Junyuan Xie, Ross Girshick, Ali Farhadi ·

Clustering is central to many data-driven application domains and has been studied extensively in terms of distance functions and grouping algorithms. Relatively little work has focused on learning representations for clustering. In this paper, we propose Deep Embedded Clustering (DEC), a method that simultaneously learns feature representations and cluster assignments using deep neural networks. DEC learns a mapping from the data space to a lower-dimensional feature space in which it iteratively optimizes a clustering objective. Our experimental evaluations on image and text corpora show significant improvement over state-of-the-art methods.

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Code

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piiswrong/dec official

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elieJalbout/Clustering-with-Deep-le…

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vlukiyanov/pt-dec

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Deepayan137/DeepClustering

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AdamStein97/Semi-Supervised-BERT-NER

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Tasks

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Clustering

Image Clustering

Unsupervised Image Classification

Datasets

CIFAR-10

CIFAR-100

MNIST

SVHN

STL-10

Tiny ImageNet

Results from the Paper

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Ranked #4 on Unsupervised Image Classification on SVHN (using extra training data)

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Task	Dataset	Model	Metric Name	Metric Value	Global Rank	Benchmark
Image Clustering	CIFAR-10	DEC	Accuracy	0.301	# 27	Compare
			NMI	0.25	# 23	Compare
			Train set	Train+Test	# 1	Compare
			ARI	0.161	# 24	Compare
			Backbone	Custom	# 1	Compare
Image Clustering	ImageNet-10	DEC	Accuracy	0.381	# 13	Compare
Image Clustering	ImageNet-10	DEC	NMI	0.282	# 13	Compare
Image Clustering	STL-10	DEC	Accuracy	0.359	# 21	Compare
			NMI	0.276	# 18	Compare
			Train Split	Train+Test	# 1	Compare
Unsupervised Image Classification	SVHN	DEC	Acc	11.90	# 4	Compare
Unsupervised Image Classification	SVHN	DEC	# of clusters (k)	10	# 1	Compare

Results from Other Papers

Task	Dataset	Model	Metric Name	Metric Value	Rank	Compare
Image Clustering	CIFAR-100	DEC	Accuracy	0.185	# 20	See all
			NMI	0.136	# 17	See all
			Train Set	Train+Test	# 1	See all
Image Clustering	Imagenet-dog-15	DEC	Accuracy	0.195	# 15	See all
Image Clustering	Imagenet-dog-15	DEC	NMI	0.122	# 15	See all
Image Clustering	Tiny-ImageNet	DEC	Accuracy	0.037	# 10	See all
Image Clustering	Tiny-ImageNet	DEC	NMI	0.115	# 10	See all
Image Clustering	CMU-PIE	DEC (KL based)	NMI	0.924	# 4	See all
Image Clustering	CMU-PIE	DEC (KL based)	Accuracy	0.801	# 3	See all
Image Clustering	YouTube Faces DB	DEC (KL based)	NMI	0.446	# 4	See all
Image Clustering	YouTube Faces DB	DEC (KL based)	Accuracy	0.371	# 3	See all

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Unsupervised Deep Embedding for Clustering Analysis

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