ios-KRKmeans-Algorithm
Clustering library
K-Means clustering algorithm implementation with multi-dimensional support and customizable features
K-Means is clustering algorithm (クラスタリング分類) that one of Machine Learning methods.
23 stars
5 watching
3 forks
Language: Objective-C
last commit: over 8 years ago
Linked from 1 awesome list
josephmisiti/awesome-machine-learningRelated projects:
| Repository | Description | Stars |
|---|---|---|
| kalvar/ios-krfuzzycmeans-algorithm | An implementation of Fuzzy C-Means clustering algorithm with fuzzy theory on Machine Learning for data mining and image compression. | 12 |
| kalvar/ios-krhebbian-algorithm | An implementation of the Hebbian learning method for unsupervised machine learning using neural networks. | 13 |
 emilbayes/kmeans.js | An implementation of the k-means clustering algorithm in JavaScript | 44 |
 pharo-ai/k-means | A Smalltalk implementation of the K-means clustering algorithm | 3 |
 mljs/kmeans | An implementation of K-means clustering algorithm in TypeScript. | 87 |
 stephenbeckr/sparsifiedkmeans | An implementation of k-means clustering algorithm optimized for big data by pre-conditioning and sparsifying the data | 56 |
 gbuesing/kmeans-clusterer | A Ruby implementation of k-means clustering algorithm with features like multiple runs and initial centroid selection. | 96 |
 e-xpertsolutions/go-cluster | Implementation of k-modes and k-prototypes clustering algorithms in Go. | 43 |
 xuyxu/clustering | This repository provides implementations of various clustering and subspace clustering algorithms in MATLAB, including K-means, ISODATA, Mean Shift, DBSCAN, Gaussian Mixture Model, LVQ, Subspace Clustering Algorithms like Subspace K-means and Entropy-Weighting Subspace K-means. | 224 |
 jeremygelb/geocmeans | An R package implementing a spatial fuzzy clustering algorithm for analyzing data with a fuzzy dimension and accounting for spatial relationships. | 27 |
 iralabdisco/pso-clustering | An algorithm for unsupervised machine learning tasks involving grouping similar data points into clusters. | 68 |
 thedatumorg/kshape-matlab | A Matlab implementation of an efficient and accurate unsupervised method for clustering time-series data | 53 |
 alexgkendall/optics_clustering | A MATLAB implementation of an unsupervised clustering algorithm that groups data points based on their density and reachability distances | 58 |
| kalvar/ios-multi-perceptron-neuralnetwork | An implementation of a multi-layer perceptron neural network with backpropagation for machine learning tasks on iOS. | 24 |
| kalvar/ios-bpn-neuralnetwork | A neural network implementation for machine learning on iOS | 33 |