SimpleKMeansClusterer - Algorithm by weka

No algorithm description given

Uses SimpleKMeans clusterer, as implemented in Weka: http://weka.sourceforge.net/doc.stable/weka/clusterers/SimpleKMeans.html Input Json should include: trainUrl: a dataset URL pointing to your dataset in the Data API Input Json may include: modelUrl: a model URL pointing to a file uploaded to the Data API to save the model, if not specified, model is not saved mode: if load mode is specified, it loads an existing SimpleKMeans clusterer to use on the dataset options: specific to each clusterer, if not specified, uses default options. Please see the above documentation for different options for this algorithm.

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For additional details on how pricing works, see Algorithmia pricing.

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This algorithm has Internet access. This is necessary for algorithms that rely on external services, however it also implies that this algorithm is able to send your input data outside of the Algorithmia platform.

To understand more about how algorithm permissions work, see the permissions documentation.

1. Type your input

2. See the result

Running algorithm...

curl -X POST -d '{{input | formatInput:"curl"}}' -H 'Content-Type: application/json' -H 'Authorization: Simple YOUR_API_KEY' https://api.algorithmia.com/v1/algo/weka/SimpleKMeansClusterer/0.1.2

View cURL Docs

algo auth
# Enter API Key: YOUR_API_KEY
algo run algo://weka/SimpleKMeansClusterer/0.1.2 -d '{{input | formatInput:"cli"}}'

View CLI Docs

import (
  algorithmia "github.com/algorithmiaio/algorithmia-go"
)

input := {{input | formatInput:"go"}}

var client = algorithmia.NewClient("YOUR_API_KEY", "")
algo, _ := client.Algo("algo://weka/SimpleKMeansClusterer/0.1.2")
resp, _ := algo.Pipe(input)
response := resp.(*algorithmia.AlgoResponse)
fmt.Println(response.Result)

View Go Docs

import com.algorithmia.*;
import com.algorithmia.algo.*;

String input = "{{input | formatInput:"java"}}";
AlgorithmiaClient client = Algorithmia.client("YOUR_API_KEY");
Algorithm algo = client.algo("algo://weka/SimpleKMeansClusterer/0.1.2");
AlgoResponse result = algo.pipeJson(input);
System.out.println(result.asJsonString());

View Java Docs

import com.algorithmia._
import com.algorithmia.algo._

val input = {{input | formatInput:"scala"}}
val client = Algorithmia.client("YOUR_API_KEY")
val algo = client.algo("algo://weka/SimpleKMeansClusterer/0.1.2")
val result = algo.pipeJson(input)
System.out.println(result.asJsonString)

View Scala Docs

var input = {{input | formatInput:"javascript"}};
Algorithmia.client("YOUR_API_KEY")
           .algo("algo://weka/SimpleKMeansClusterer/0.1.2")
           .pipe(input)
           .then(function(output) {
             console.log(output);
           });

View Javascript Docs

using Algorithmia;

var input = "{{input | formatInput:"cs"}}";
var client = new Client("YOUR_API_KEY");
var algorithm = client.algo("algo://weka/SimpleKMeansClusterer/0.1.2");
var response = algorithm.pipe<object>(input);
Console.WriteLine(response.result);

View .NET/C# Docs

var input = {{input | formatInput:"javascript"}};
Algorithmia.client("YOUR_API_KEY")
           .algo("algo://weka/SimpleKMeansClusterer/0.1.2")
           .pipe(input)
           .then(function(response) {
             console.log(response.get());
           });

View NodeJS Docs

import Algorithmia

input = {{input | formatInput:"python"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('weka/SimpleKMeansClusterer/0.1.2')
print algo.pipe(input)

View Python Docs

library(algorithmia)

input <- {{input | formatInput:"r"}}
client <- getAlgorithmiaClient("YOUR_API_KEY")
algo <- client$algo("weka/SimpleKMeansClusterer/0.1.2")
result <- algo$pipe(input)$result
print(result)

View R Docs

require 'algorithmia'

input = {{input | formatInput:"ruby"}}
client = Algorithmia.client('YOUR_API_KEY')
algo = client.algo('weka/SimpleKMeansClusterer/0.1.2')
puts algo.pipe(input).result

View Ruby Docs

use algorithmia::Algorithmia;

let input = {{input | formatInput:"rust"}};
let client = Algorithmia::client("YOUR_API_KEY");
let algo = client.algo("weka/SimpleKMeansClusterer/0.1.2");
let response = algo.pipe(input);

View Rust Docs

import Algorithmia

let input = "{{input | formatInput:"swift"}}";
let client = Algorithmia.client(simpleKey: "YOUR_API_KEY")
let algo = client.algo(algoUri: "weka/SimpleKMeansClusterer/0.1.2") { resp, error in
  print(resp)
}

View Swift Docs

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