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@@ -4,7 +4,7 @@
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namespace Similarity
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{
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float euclidean_distance(Dna *d1, Dna *d2);// direct distance betwen vector. wont give 0 and 1
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// float dot_product(Dna *d1, Dna *d2); // doent return betwen 0 to 1
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float dot_minmax(Dna *d1, Dna *d2); // doent return betwen 0 to 1
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float cosine_similarity(Dna *d1, Dna *d2);
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float cosine_similarity_int(Dna *d1, Dna *d2);
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float hamming_distance(Dna *d1, Dna *d2);
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@@ -2,10 +2,26 @@
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#include <cmath>
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#include <algorithm>
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#include <numeric>
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#include <raylib.h>
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#include <chrono>
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namespace Similarity
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{
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float dot_minmax(Dna *d1, Dna *d2)
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{
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uint64_t max = sizeof(Dna) * 255 * 255;
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uint8_t *a = (uint8_t *)d1;
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uint8_t *b = (uint8_t *)d2;
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uint32_t result = 0;
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for (size_t i = 0; i < sizeof(Dna); ++i)
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{
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result += static_cast<uint32_t>(a[i]) * static_cast<uint32_t>(b[i]);
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}
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return result / (double)max;
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}
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float euclidean_distance(Dna *d1, Dna *d2)
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{
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uint8_t *a = (uint8_t *)d1;
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@@ -100,8 +116,41 @@ namespace Similarity
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return 1 - (distance / (end - start));
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}
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const char *nameofFunc(simil_func f)
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{
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if (f == &Similarity::euclidean_distance)
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{
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return "eucl";
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}
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else if (f == &Similarity::dot_minmax)
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{
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return "dot";
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}
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else if (f == &Similarity::cosine_similarity)
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{
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return "cos";
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}
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else if (f == &Similarity::cosine_similarity_int)
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{
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return "cos_i";
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}
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else if (f == &Similarity::hamming_distance)
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{
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return "hamming";
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}
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else if (f == &Similarity::levenshtein_distance)
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{
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return "leven";
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}
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else
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{
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return "unknown";
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}
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}
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float calc_similarity(std::vector<Dna> &vec, simil_func f)
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{
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auto start = std::chrono::high_resolution_clock::now();
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size_t num_pairs = (vec.size() * (vec.size() - 1)) / 2;
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float total_similarity = 0.0;
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@@ -113,6 +162,12 @@ namespace Similarity
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}
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}
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float average_similarity = total_similarity / num_pairs;
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auto stop = std::chrono::high_resolution_clock::now();
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const auto int_ms = std::chrono::duration_cast<std::chrono::microseconds>(stop - start);
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TraceLog(LOG_INFO, "%s, %d", nameofFunc(f), int_ms);
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return average_similarity * 100.0f;
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}
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@@ -123,7 +178,7 @@ namespace Similarity
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uint8_t *b = (uint8_t *)d2;
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// Create a distance matrix
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std::vector<std::vector<uint32_t>> dp(len + 1, std::vector<uint32_t>(len + 1, 0));
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static std::vector<std::vector<uint32_t>> dp(len + 1, std::vector<uint32_t>(len + 1, 0));
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// Initialize the first row and column
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for (size_t i = 0; i <= len; ++i)
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