wdlv / Clustering-on-the-MNIST-data
Comparisons between KMeans, PCA, LDA, t-SNE on the MNIST dataset
☆23Updated 7 years ago
Alternatives and similar repositories for Clustering-on-the-MNIST-data:
Users that are interested in Clustering-on-the-MNIST-data are comparing it to the libraries listed below
- Here I've demonstrated how and why should we use PCA, KernelPCA, LDA and t-SNE for dimensionality reduction when we work with higher dime…☆19Updated 7 years ago
- Autoencoders - a deep neural network was used for feature extraction followed by clustering of the "Cancer" dataset using k-means techni…☆13Updated 7 years ago
- Hierarchical Clustering Python Implementation☆71Updated 3 years ago
- Robust Spectral Clustering. Implementation of "Robust Spectral Clustering for Noisy Data: Modeling Sparse Corruptions Improves Latent Emb…☆26Updated 5 years ago
- Deep Learning Clustering with Tensor-Flow in Python☆13Updated 6 years ago
- Synthetic Minority Over-sampling Technique☆38Updated 7 years ago
- Transfer learning for flight-delay prediction via variational autoencoders in Keras☆34Updated 7 years ago
- Python scripts for time series forecasting using ARIMA and LSTM recurrent neural networks☆11Updated 4 years ago
- Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).☆39Updated 6 years ago
- Ensemble Machine Learning for Time Series: Ensemble of Deep Recurrent Neural Networks and Random forest using a Stacking (averaging) laye…☆35Updated 7 years ago
- A Python 2 implementation of Fuzzy C Means Clustering algorithm.☆50Updated 4 years ago
- ☆89Updated 6 years ago
- Stacked Denoising AutoEncoder☆76Updated 5 years ago
- These are my solutions to all six assignments of tensorflow tutorial in Udacity, covering CNN, RNN, Regularization (L2 and dropout), Embe…☆10Updated 8 years ago
- Code for a recurrent neural network (RNN) created by unfolding the sequential ISTA (SISTA) algorithm for sequential sparse coding☆14Updated 7 years ago
- ☆18Updated 6 years ago
- Implement the EM algorithm for a Gaussian mixture model and apply it to cluster images☆21Updated 6 years ago
- 用 MATLAB 实现深度学习网络中的 stacked auto-encoder：使用AE variant（de-noising / sparse / contractive AE）进行预训练，用BP算法进行微调☆42Updated 8 years ago
- Online EM algorithms for hidden Markov and semi-Markov models + applications to audio segmentation and clustering☆71Updated 9 years ago
- Python implementation of a time-series model with (optional) attention where the encoder is CNN, decoder is LSTM, and more.☆22Updated 8 years ago
- A few basic online learning algorithms☆25Updated 3 years ago
- A Tutorial of KMeans(++), GMM and Spectral Clustering☆25Updated 8 years ago
- LSTM for time series forecasting☆28Updated 7 years ago
- ☆61Updated 7 years ago
- Implementation of various feature selection methods using TensorFlow library.☆9Updated 2 years ago
- Matlab implementation of TCK☆12Updated 5 years ago
- Regularized marginalized Stacked Denoising Autoencoders for Domain Adaptation☆12Updated 7 years ago
- Tensorflow Examples☆29Updated 7 years ago
- An implementation of Deep Linear Discriminant Analysis (DeepLDA) in Keras☆41Updated 6 years ago
- A feature extractor based on Python 3, Tensorflow, and Scikit-learn created to improve the SVM accuracy to classify the MNIST dataset fas…☆70Updated 2 years ago