pca

A data set containing handwritten digits has been processed by clustering, using PCA as well as K-means. But the visualization of the data as a scatter plot can only be done using PCA.

clustering pca image-recognition k-means

Updated Mar 17, 2017
Python

williamd4112 / simple-linear-classification

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A python implementation of linear classification algorithm (including Probabilistic Generative Model, Probabilistic Discriminative Model). (See Pattern Recognition and Machine Learning, Bishop)

machine-learning regression artificial-intelligence pca classification logistic-regression lda softmax-regression bishop newton-raphson irls probabilistic-generative-model probabilistic-discriminative

Updated Apr 11, 2017
Python

iinitd / svm-color-pca

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Classification of forest fire pictures based on SVM

python svm rgb pca

Updated Apr 28, 2017
Python

paalka / neur

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Neur is a library of minimalistic implementations of machine learning related algorithms

python machine-learning neural-network mnist pca kmeans knn

Updated May 27, 2017
Python

jordanow / cifar10_ML

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Investigating the different supervised learning models to classify the CIFAR 10 dataset

machine-learning random-forest sklearn cnn pca logistic-regression cifar10

Updated Jun 5, 2017
Python

gabsens / DimensionReduction

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Spring 2017 Python project at ENSAE: PCA with pure Python, bits of NMF

python pca dimensionality-reduction french numerical-methods nmf numerical-analysis ensae

Updated Jun 17, 2017
Python

RagnarEinestam / PiEye

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Thesis project

machine-learning computer-vision sensor cross-validation feature-extraction pca lda python27

Updated Jun 22, 2017
Python

annieyan / Stochastic_dual_coordinate_ascent

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classify mnist datasets using ridge regression, optimize the algorithem with SGD, stochastic dual coordinate ascent, and mini-batching

pca mnist-classification ridge-regression stochastic-gradient-descent gaussian-kernel mini-batch-gradient-descent dual-coordiate-ascent

Updated Jul 18, 2017
Python

lowhung / naive-bayes-pca-mds

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Implementations of MAP, Naive Bayes, PCA, MDS, ISOMAP and some compression

map naive-bayes naive-bayes-classifier pca mds manifold isomap

Updated Aug 12, 2017
Python

ppplinday / Picture-Classification-PCA-KNN

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Using PCA and KNN to do picture classification, and the picture is the first pictures from cifar-10

machine-learning mnist pca image-classification knn

Updated Sep 1, 2017
Python

sanjaykrishnagouda / Anomaly-Detection

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Easy to understand classification problem from a highly skewed kaggle dataset. Solved using logistic regression and SVM, code inspired from top contributor.