The Deep Embedded Regularized Clustering (DEPICT) approach, pioneered by Ghasedi et al. [69], innovatively introduces a SoftMax layer on a Convolutional AE. A uniform prior is incorporated to balance clustering allocation, achieved by merging regularization terms into the clustering loss. In ...
聚类导向(clustering-oriented) 该部分基于representation接近聚类中心的程度进行惩罚,使representation适合聚类且有很好的区分性 5.Deep Embedded Regularized Clustering (DEPICT) 该网络在多层卷积AE的最后加入softmax层,其通过正则项最小化聚类的相对熵loss,正则化项目的是平衡簇分配并防止将簇分配给离群样本(outlier samp...
This paper presents an effective deep clustering-based plant disease categorization algorithm, Boosted- Deep Embedded Regularized Clustering (DEPICT). This model integrates the convolutional autoencoder model with locality preserving constraints and group sparsity into the network, improves the embedded ...
Cai J, Fan J, Guo W, Wang S, Zhang Y, Zhang Z (2022) Efficient deep embedded subspace clustering. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (CVPR), pp 1–10 Cai J, Wang S, Xu C, Guo W (2022) Unsupervised deep clustering via contractive ...
Embedded Feature Selection on Graph-Based Multi-View ClusteringEFSGMCAAAI 2024- Incomplete Contrastive Multi-View Clustering with High-Confidence GuidingICMVCAAAI 2024Pytorch Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures-AAAI 2024- ...
After pretraining, the encoder was added to the neural network for cell clustering, in which batch effect can be removed over iterations in model training. Count-adapted regularized deep embedded clustering (CarDEC) [117] is an advanced deep architecture that enables simultaneous batch effect ...
[58], spectral embed- ded clustering (SEC) [36], local discriminant models and global integration (LDMGI) [57], NMF with deep model (NMF-D) [45], task-specific clustering with deep model (TSC-D) [48], deep embedded clustering (DEC) [53], joint unsupervised learning (JULE-RC) [56...
2024Self‐Supervised Multi‐View Clustering in Computer Vision: A SurveyIET CV 2024The Methods for Improving Large-Scale Multi-View Clustering Efficiency: A SurveyAIR 2024Deep Clustering:A Comprehensive SurveyTNNLS 2024Breaking Down Multi-view Clustering:A Comprehensive Review of Multi-view Approaches for...
Improved deep convolutional embedded clustering with re-selectable sample training 2022, Pattern Recognition Citation Excerpt : For example, we can apply the model to medical image processing and other applications [38,39]. Show abstract Functional magnetic resonance imaging, deep learning, and Alzheimer...
Deep Nonparametric Clustering (DNC) 该算法使用无监督特征学习和DBN进行聚类分析,首先训练DBN将原始数据映射到特征编码,之后使用nonparametric maximum margin clustering (NMMC)算法得到训练数据的簇数量和label数量,最后fine tune DBN的top layer参数 Deep Embedded Clustering (DEC) 最经典模型之一,其使用AE作为网络框架...