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kmeans-clustering

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nfmcclure / tensorflow_cookbook

Open

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)))

Read more

enhancement good first issue

susanli2016 / Machine-Learning-with-Python

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 Jan 17, 2022
Jupyter Notebook

anish-lakkapragada / SeaLion

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

python data-science machine-learning algorithms modeling batch-normalization neural-networks data-analysis unsupervised-learning kmeans-clustering machine-learning-python dbscan-clustering regression-algorithms k-nearest-neighbors

Updated Apr 15, 2022
Python

jayshah19949596 / Machine-Learning-Models

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

subhadarship / kmeans_pytorch

kmeans using PyTorch

jekyll github-pages docs gpu pytorch kmeans-clustering jekylbook

Updated Mar 31, 2022
Jupyter Notebook

Somnibyte / MLKit

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

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 Nov 9, 2021
C++

GoogleCloudPlatform / df-ml-anomaly-detection

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

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

Updated Jan 21, 2021
Java

MLWithPytorch

Mayurji / MLWithPytorch

Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch

machine-learning linear-regression machine-learning-algorithms python3 pytorch naive-bayes-classifier pca-analysis gaussian-mixture-models logistic-regression decision-trees ridge-regression naive-bayes-algorithm kmeans-clustering svm-classifier lasso-regression knn-classification pytorch-implementation tfidf-vectorizer adaboost-algorithm

Updated Dec 15, 2021
Python

drewwilimitis / hyperbolic-learning

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

gbuesing / kmeans-clusterer

k-means clustering in Ruby

ruby clustering kmeans-clustering rubyml

Updated Sep 21, 2020
Ruby

COVID19-Literature-Clustering

MaksimEkin / COVID19-Literature-Clustering

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.

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 Nov 2, 2021
HTML

Behrouz-Babaki / MinSizeKmeans

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 Mar 2, 2021
Python

Shaashwat05 / Cartoonify_reality

Convert images and videos to cartoons using opencv

image-processing opencv-python kmeans-clustering erode contour-detection cartoonify

Updated Jan 12, 2021
Python

solzimer / skmeans

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 Apr 27, 2022
JavaScript

Happyxianyueveryday / statslibrary

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

ugis22 / clustering_analysis

Performs an exploratory analysis on a dataset containing information about shop customers. Check that the assumptions K-means makes are fulfilled. Apply K-means clustering algorithm in order to segment customers.

data-science machine-learning tech clustering kmeans-clustering customer-segmentation

Updated Feb 19, 2020
Jupyter Notebook

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

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

PyDataBlog / ParallelKMeans.jl

Parallel & lightning fast implementation of available classic and contemporary variants of the KMeans clustering algorithm

clustering julia parallel-computing kmeans-clustering kmeans-clustering-algorithm mlj mlj-unsupervised

Updated Jun 29, 2021
Julia

nsoojin / coursera-ml-py-sj

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

asselinpaul / ImageSeg-KMeans

💠 Image Segmentation using K-Means

image-segmentation kmeans-clustering

Updated Aug 24, 2021
Python

batsqd / Movie

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

yanqiangmiffy / text-cluster

🍡 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

analyticalmonk / KMeans_elbow

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 Apr 6, 2022
Jupyter Notebook

aditya1601 / kmeans-clustering-cpp

A C++ implementation of simple k-means clustering algorithm.

c-plus-plus cpp kmeans kmeans-clustering kmeans-algorithm kmeans-clustering-algorithm

Updated Jul 28, 2021
C++

TensorDecompositions / NTFk.jl

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 Mar 9, 2022
Julia

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

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

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

Updated Jun 14, 2021
Python

Abhishekmamidi123 / Computer-Vision

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

rohanbaisantry / image-clustering

This is a simple image clustering algorithm which uses KMeans for clustering and performs 3 types of vectorization using vgg16, vgg19 and resnet50 using the weights from ImageNet

python machine-learning deep-learning convolutional-neural-networks kmeans-clustering image-clusterization

Updated Dec 6, 2019
Python

markomih / kmeans_mapreduce

K-means MapReduce implementation

hadoop kmeans-clustering mapreduce-java

Updated Sep 13, 2020
Java

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