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third_party/bhtsne/tsne_test.cpp

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+#include <cfloat>
+#include <cmath>
+#include <cstdlib>
+#include <cstdio>
+#include <cstring>
+#include <ctime>
+#include <iostream>
+
+#include "tsne.h"
+
+// Function that runs the Barnes-Hut implementation of t-SNE
+// simulate input data from code, print result to console
+// 3 dims --->  2 dims  for this test
+int main() {
+
+    // Define some variables
+	int origN = 8, N = 8, D = 3, no_dims = 2, max_iter = 1000;
+	double perplexity = 2, theta = 0.5;
+    int rand_seed = -1;
+	double data[] = {100, 23.9, 12,
+					45.2, 46.9, 10,
+					201, 44.8, 30,
+					201, 40.2, 32,
+					101, 7.8, 33,
+					21, 4, 35,
+					441, 4.8, 36,
+					2.1, 32.4, 56};
+
+	N = origN;
+
+	// Now fire up the SNE implementation
+	double* Y = (double*) malloc(N * no_dims * sizeof(double));
+	if(Y == NULL) { printf("Memory allocation failed!\n"); exit(1); }
+
+	// data: input high dims of features, N * D
+	// Y: output low dims of features, N * no_dims
+	TSNE::run(data, N, D, Y, no_dims, perplexity, theta, rand_seed, false, max_iter, 250, 250);
+
+	// Print the results
+	for (int i = 0; i < N; i++) {
+		/* code */
+		std::cout << Y[i] << "," << Y[i+1] << std::endl;
+	}
+	
+	// you can display result on 2D screen here
+
+	// Clean up the memory
+	free(Y); Y = NULL;
+}