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/*
Kmeans used for clustering circular shapes
*/
'use strict';

// Import helper functions
const IJ_PLUGINS = IJ.getDir('plugins');
load(`${IJ_PLUGINS}/javascript/nashorn_polyfill.js`);
load(`${IJ_PLUGINS}/javascript/tml.js`);

////main////
let stack=IJ.getImage();

//Step 1: create data frame object
let df=new DataFrame();
df.fromIJ(stack);

console.log(df.shape);

//step 2: run the Kmeans
let K = 6;
let km =  new Kmeans(K);
km.fit(df); //apprentissage
let clusters=km.clusters;

for (let i=0;i<clusters.length;i++){
    if(clusters[i]===undefined){
        console.log(i,'@','--');
    }
    else{
        console.log(i,'@',clusters[i].length);
    }
}

////Functions////

function extractshape(stack, clusters){
    console.log('Size', stack.getWidth(),'x',stack.getHeight());
    
    for (let c=0;c<clusters.length;c++){
        let imp=IJ.createImage(`cluster #${c}`,"32-bit black", 33, 33, clusters[c].length);
    
        for (let i=0;i<clusters[c].length;i++){
            let idx =clusters[c][i];
            let tmp = stack.getProcessor(idx+1);
            imp.getImageStack().setProcessor(tmp,i+1);
        }
    
    imp.show();
    }
}


////Call function////

extractshape(stack.getImageStack(), clusters);