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kmeans-clustering

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nfmcclure / tensorflow_cookbook

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Suggestion for better test_indices

3

ychong commented Feb 8, 2018

Hi I would like to propose a better implementation for 'test_indices':

We can remove the unneeded np.array casting:

Cleaner/New:
test_indices = list(set(range(len(texts))) - set(train_indices))

Old:
test_indices = np.array(list(set(range(len(texts))) - set(train_indices)))

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enhancement good first issue

susanli2016 / Machine-Learning-with-Python

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Python code for common Machine Learning Algorithms

random-forest svm linear-regression naive-bayes-classifier pca logistic-regression decision-trees lda polynomial-regression kmeans-clustering hierarchical-clustering svr knn-classification xgboost-algorithm

Updated Jun 18, 2020
Jupyter Notebook

hosseinmoein / DataFrame

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C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types, continuous memory storage, and no pointers are involved

cpp statistical-analysis data-analysis trading-strategies trading-algorithms numerical-methods dataframe financial-data heterogeneous-lists kmeans-clustering numerical-analysis heterogeneous financial-engineering multidimensional-data affinity-propagation heterogeneous-data multi-dimensional-array financial-data-analysis large-data dataframe-performance

Updated Jul 9, 2020
C++

Somnibyte / MLKit

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A simple machine learning framework written in Swift 🤖

swift machine-learning neural-network genetic-algorithm linear-regression machine-learning-algorithms regression artificial-intelligence machine-learning-library feedforward-neural-network kmeans ridge-regression polynomial-regression backpropagation kmeans-clustering mlkit lasso-regression

Updated Aug 28, 2018
Swift

myazi / myLearn

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machine learning algorithm

hmm log svm crf linear-regression dnn id3 logistic-regression cart adaboost bayes gmm rf knn softmax-regression kmeans-clustering memm

Updated Apr 5, 2020
C++

jayshah19949596 / Machine-Learning-Models

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Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

neural-network random-forest linear-regression machine-learning-algorithms naive-bayes-classifier supervised-learning gaussian-mixture-models logistic-regression kmeans decision-trees knn principal-component-analysis dynamic-time-warping kmeans-clustering em-algorithm kmeans-algorithm singular-value-decomposition knn-classification gaussian-classifier value-iteration-algorithm

Updated May 15, 2017
MATLAB

gbuesing / kmeans-clusterer

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explain data relationship in the README example

martianinteractive commented May 30, 2018

Can you explain how the data relate to the labels? I'm referring to this:

data = [[40.71,-74.01],[34.05,-118.24],[39.29,-76.61],
[45.52,-122.68],[38.9,-77.04],[36.11,-115.17]]

labels = ['New York', 'Los Angeles', 'Baltimore',
'Portland', 'Washington DC', 'Las Vegas']

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Behrouz-Babaki / MinSizeKmeans

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A python implementation of KMeans clustering with minimum cluster size constraint (Bradley et al., 2000)

clustering-algorithm kmeans-clustering constrained-clustering minimum-size-constraint

Updated May 12, 2020
Python

COVID19-Literature-Clustering

MaksimEkin / COVID19-Literature-Clustering

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An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals to find relevant research articles, and respond to rapidly spreading COVID-19 promptly.

machine-learning random-forest clustering sklearn kaggle pca classification dimensionality-reduction bokeh kmeans tsne principal-component-analysis kmeans-clustering sgd-classifier coronavirus covid-19

Updated Jul 2, 2020
HTML

GoogleCloudPlatform / df-ml-anomaly-detection

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Streaming Anomaly Detection Solution by using Pub/Sub, Dataflow, BQML & Cloud DLP

log network pubsub cybersecurity dataflow kmeans-clustering dlp anomaly-detection bqml

Updated Jul 9, 2020
Java

subhadarship / kmeans_pytorch

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kmeans using PyTorch

jekyll github-pages docs gpu pytorch kmeans-clustering jekylbook

Updated May 18, 2020
Jupyter Notebook

solzimer / skmeans

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Super fast simple k-means implementation for unidimiensional and multidimensional data.

nodejs javascript fast browser cluster kmeans k-means kmeans-clustering multidimensional kmeans-algorithm centroid k-means-clustering unidimensional

Updated Mar 13, 2020
JavaScript

batsqd / Movie

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Personalized real-time movie recommendation system

real-time movie rating collaborative-filtering recommendation-system movie-recommendation movielens-dataset kmeans-clustering slope-one

Updated Jun 7, 2019
Java

nsoojin / coursera-ml-py-sj

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neural-network logistic-regression support-vector-machine coursera-machine-learning kmeans-clustering numpy-exercises anomaly-detection andrew-ng-course machine-learning-exercises andrew-ng-machine-learning andrew-ng-ml-course

Updated Mar 24, 2017
Python

analyticalmonk / KMeans_elbow

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Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'

python machine-learning scikit-learn sklearn kmeans kmeans-clustering

Updated Nov 13, 2019
Jupyter Notebook

asselinpaul / ImageSeg-KMeans

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💠 Image Segmentation using K-Means

image-segmentation kmeans-clustering

Updated May 23, 2017
Python

Happyxianyueveryday / statslibrary

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统计分析课程实验作业/包含《统计分析方法》中因子分析，主成分分析，Kmeans聚类等典型算法的手写实现

pca kmeans-clustering mahalanobis-distance euclidean-distance variance-analysis

Updated Feb 15, 2020
Python

raganmd / touchdesigner-dominant-color

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An approach for finding dominant color in an image using KMeans clustering with scikit learn and openCV. The approach here is built for realtime applications using TouchDesigner and python multi-threading.

python touchdesigner dominant-colors kmeans-clustering touchdesigner-components touchdesigner-tool

Updated Aug 16, 2019
Python

PyDataBlog / ParallelKMeans.jl

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Benchmark figure

1

azev77 commented May 1, 2020

Hi and thanks for this package.
In the benchmark figure in the readme, can you make the PK implementations easier to view & disentangle from the others?
For example, may make them dashed, or thicker, or have a different marker...
Or make all the PK the same color except w/ different markers...

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documentation

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Comparison with other implementations

mpatacchiola / tensorbag

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Collection of tensorflow notebooks tutorials for implementing the most important Deep Learning algorithms.

tutorial deep-learning notebook tensorflow mnist autoencoder resnet tensorflow-tutorials convolutional-neural-networks perceptron generative-adversarial-networks kmeans-clustering cifar-10 lenet-5 resnet-18 cifar-100 tfrecord-format

Updated Aug 15, 2018
Jupyter Notebook

physhik / Study-of-David-Mackay-s-book-

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David Mackay's book review and problem solvings and own python codes, mathematica files

python data-science clustering-algorithm kmeans-clustering hamiltonian-monte-carlo gibbs-sampling maximum-likelihood-estimation monte-carlo-sampling mathematica-notebook

Updated Sep 19, 2017
Jupyter Notebook

amirdeljouyi / Genetic-Algorithm-on-K-Means-Clustering

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Implementing Genetic Algorithm on K-Means and compare with K-Means++

cluster genetic-algorithm k-means clustering-algorithm kmeans-clustering

Updated Jan 27, 2018
Python

Abhishekmamidi123 / Computer-Vision

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Computer Vision - Impemented algorithms - Hybrid image, Corner detection, Scale space blob detection, Scene classifiers, Vanishing point detection, Finding height of an object, Image stitching.

python computer-vision deep-learning svm corner-detection transfer-learning vgg16 image-stitching googlenet kmeans-clustering hybrid-image vanishing-points resnet-50 blob-detection knn-classification

Updated Jun 6, 2018
Python

yanqiangmiffy / text-cluster

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🍡 文本聚类 k-means算法及实战

k-means kmeans-clustering kmeans-algorithm k-means-clustering kmeans-clustering-algorithm

Updated Jan 22, 2019
Python

drewwilimitis / hyperbolic-learning

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Implemented ML algorithms in hyperbolic geometry (MDS, K-Means, Support vector machines, etc.)

python kmeans-clustering hyperbolic-geometry multidimensional-scaling hyperbolic-embeddings

Updated May 19, 2020
Jupyter Notebook

klevis / KMeansImageColorReduction

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Using Maching Learning KMeans Algorithm to reduce image colors and compress

java machine-learning image-processing kmeans kmeans-clustering

Updated Dec 28, 2017
Java

TensorDecompositions / NTFk.jl

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Unsupervised Machine Learning: Nonnegative Tensor Factorization + k-means clustering

machine-learning sparsity feature-extraction unsupervised-learning kmeans-clustering tensor-decomposition cp-decomposition blind-source-separation tensor-networks hosvd tucker-decomposition

Updated Jun 22, 2020
Julia

krpiyush5 / Amazon-Fine-Food-Review

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Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

random-forest svm naive-bayes logistic-regression machinelearning decision-trees knn tsne kmeans-clustering truncated-svd amazonfinefoodreviews

Updated Jul 26, 2019
Jupyter Notebook

Maki94 / kmeans_mapreduce

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K-means MapReduce implementation

hadoop kmeans-clustering mapreduce-java

Updated Jun 4, 2018
Java

innat / Py4-DS

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🐍 Data Science Boot-Camp : UC San DiegoX

data-science database twitter-api numpy machine-learning-algorithms jupyter-notebook pandas data-visualization python3 nltk matplotlib decision-tree-classifier kmeans-clustering scikitlearn-machine-learning kaggle-soccor

Updated Nov 9, 2019
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