Reverse Dictionary
Click words for definitions
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Words For "k-medians clustering"
As you've probably noticed, words for "k-medians clustering" are listed above. According to the algorithm that drives this word similarity engine, the top 5 related words for "k-medians clustering" are: k, potassium, velar, kappa, and kay. There are 257 other words that are related to or similar to k-medians clustering listed above. Hopefully the generated list of words for "k-medians clustering" above suit your needs. If not, you might want to check out Related Words - another project of mine which uses a different technique (not though that it works best with single words, not phrases).
About Reverse Dictionary
The way Reverse Dictionary works is pretty simple. It simply looks through tonnes of dictionary definitions and grabs the ones that most closely match your search query. For example, if you type something like "longing for a time in the past", then the engine will return "nostalgia". The engine has indexed several million definitions so far, and at this stage it's starting to give consistently good results (though it may return weird results sometimes). It acts a lot like a thesaurus except that it allows you to search with a definition, rather than a single word. So in a sense, this tool is a "search engine for words", or a sentence to word converter.
I made this tool after working on Related Words which is a very similar tool, except it uses a bunch of algorithms and multiple databases to find similar words to a search query. That project is closer to a thesaurus in the sense that it returns synonyms for a word (or short phrase) query, but it also returns many broadly related words that aren't included in thesauri. So this project, Reverse Dictionary, is meant to go hand-in-hand with Related Words to act as a word-finding and brainstorming toolset. For those interested, I also developed Describing Words which helps you find adjectives and interesting descriptors for things (e.g. waves, sunsets, trees, etc.).
In case you didn't notice, you can click on words in the search results and you'll be presented with the definition of that word (if available). The definitions are sourced from the famous and open-source WordNet database, so a huge thanks to the many contributors for creating such an awesome free resource.
Special thanks to the contributors of the open-source code that was used in this project: Elastic Search, @HubSpot, WordNet, and @mongodb.
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