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Tags: pca*

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21. Deep Learning for Single Cell Biology – Towards Data Science

    2019-05-08 Tags: dimensionality reduction, tensorflow, tsne, pca, autoencoder, deep learning, biology, genetics, cells, rna by klotz
22. Predicting bankruptcy – Towards Data Science

    2019-02-11 Tags: machine learning, process, evaluation, pca, random forest, bagged dt, bgdt, decision tree by klotz
23. “Principal Component Analysis”

    2019-01-07 Tags: pca by klotz
24. Principal Component Analysis: Your Tutorial and Code

    2018-11-09 Tags: pca by klotz
25. Comparing the performance of non-supervised vs supervised learning methods for NLP text…

    2018-10-19 Tags: nlp, machine learning, tf-idf, classification, k-means, pca, lda by klotz
26. GitHub - lmcinnes/umap: Uniform Manifold Approximation and Projection

    Alternative to t-SNE and PCA

    2018-10-09 Tags: umap, visualization, dimensionality reduction, python, embedding, machine learning, t-sne, pca by klotz
27. “Visualising high-dimensional datasets using PCA and t-SNE in Python”

    2018-10-06 Tags: t-sna, pca, visualization, python, matplotlib, data science by klotz
28. Machine Learning for Humans, Part 3: Unsupervised Learning

    2018-09-19 Tags: clustering, dimensionality reduction, k-means clustering, hierarchical clustering, pca, svd, tutorial, medium by klotz
29. python - How can i plot a Kmeans text clustering result with matplotlib? - Stack Overflow

    In your example if you use PCA to initialize your t-SNE you get widely spaced centroids; if you use random initialization you'll get tiny centroids and an uninteresting picture.

    2018-08-14 Tags: knn, cluster, visualization, python, matplotlib, tf-idf, pca by klotz
30. Electronic nose | Michael Madsen

    2017-10-12 Tags: arduino, sensors, mq-2, mq-135, svd, machine learning, pca, statistics by klotz

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