文件列表:

LICENSE (11357, 2017-11-27)
config.js (128, 2017-11-27)
iris.csv (4601, 2017-11-27)
iris.js (4891, 2017-11-27)
iris2.js (4219, 2017-11-27)
iris_plotly_3d.js (3901, 2017-11-27)
package.json (594, 2017-11-27)
zscore.js (478, 2017-11-27)

# [Data Clustering with Javascript](https://medium.com/@joaogabriellima/clusteriza%C3%A7%C3%A3o-de-dados-com-javascript-parte-1-conceitos-fundamentais-c7a676e70a4b) [Medium Post: Data Clustering with Javascript](https://medium.com/@joaogabriellima/clusteriza%C3%A7%C3%A3o-de-dados-com-javascript-parte-1-conceitos-fundamentais-c7a676e70a4b) Author: [Joo Gabriel Lima](https://linkedin.com/in/joaogabriellima) The need to classify elements by their characteristics is present in several areas of knowledge. Given the difficulty of examining all combinations of possible groups in a large volume of data, some techniques have been developed to aid in the formation of clusters. - [Part 1 - Fundamental Concepts about Clustering](https://medium.com/@joaogabriellima/clusteriza%C3%A7%C3%A3o-de-dados-com-javascript-parte-2-padroniza%C3%A7%C3%A3o-e-medidas-de-dist%C3%A2ncia-1fadc3dd100c) - [Part 2 - Standardization of variables and distance measures](https://medium.com/@joaogabriellima/clusteriza%C3%A7%C3%A3o-de-dados-com-javascript-parte-2-padroniza%C3%A7%C3%A3o-e-medidas-de-dist%C3%A2ncia-1fadc3dd100c) - [Part 3 - Clustering Algorithms - Case Study](https://medium.com/@joaogabriellima/clusteriza%C3%A7%C3%A3o-de-dados-com-javascript-parte-3-799b46f423d4) ## Main libraries - shaman (https://www.npmjs.com/package/shaman) - simple-statistics (https://www.npmjs.com/package/simple-statistics) - data-forge (https://www.npmjs.com/package/data-forge) - plotly (https://www.npmjs.com/package/plotly) - opn (https://www.npmjs.com/package/opn) ### Databases: #####Iris Species - Classify iris plants into three species in this classic dataset source: https://www.kaggle.com/uciml/iris > datasets/iris.csv

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