better metric

main.c

@@ -14,7 +14,7 @@ static float reference[DATA_LEN] = {
 
 static float data[DATA_LEN] = {
 	//0, 10, 20, 30, 40, 50, 50, 35, 15, 15, 0
-	0, 13, 16, 0, 0.1, 0.2, 10, 0, 24, 0, 0, 7, 12, 0.4, 0.5, 0
+	0, 15.7, 0, 0, 0.3, 0.2, 0.1, 7, 24.242, 7, 0, 2, 0.2, 0.4, 0.5, 0
 };
 
 static float ref_p[REF_LEN];
@@ -78,14 +78,14 @@ int main(void)
 	vec_fuzzymatch_cfg_t cfg = {
 		.length = DATA_LEN,
 		.drift_x = 1,
-		.offset_y = 1,
+		.offset_y = 0.5,
 		.abs_threshold = 0.1
 	};
 
 
 	vec_hausdorff_cfg_t cfg_hdf = {
 		.length = DATA_LEN,
-		.max_drift_x = 10,
+		.max_drift_x = 4,
 		.cost_x = 10,
 		.cost_y = 4
 	};

src/vec_match.c

@@ -20,7 +20,7 @@
 
 // ---- HAUSDORFF ----
 
-// real hausdorf should just return the max distance, we sum them all
+// real hausdorf should just return the highest minimal distance, we sum them.
 float vec_hausdorff_do(const float *data,
 					   const float *ref, uint32_t ref_p_len,
 					   const vec_hausdorff_cfg_t *cfg, bool packed)
@@ -59,8 +59,7 @@ float vec_hausdorff_do(const float *data,
 			f = packed ? pw_get(&w, j) : ref[j];
 
 			// get X dist
-			g = sqrtf(SQ((f - data[i]) * cfg->cost_y) +
-					  SQ(NUM_DIST(i, j) * cfg->cost_x));
+			g = SQ((f - data[i]) * cfg->cost_y) + SQ(NUM_DIST(i, j) * cfg->cost_x);//sqrtf(
 
 			if (dist > g) dist = g;
 		}