{"cells":[{"cell_type":"markdown","metadata":{"id":"-Y8xDCvJ8-Aw"},"source":["# k-Nearest Neighbors (k-NN)\n"]},{"cell_type":"markdown","metadata":{"id":"bXw_1EA29KND"},"source":["ใน tutorial ก่อนหน้านี้ เราได้เรียนรู้การทำงานของ linear regression, logistic regression, support vector machine, decision tree และ random forest ซึ่งเป็น supervised machine learning algorithms ชนิดมีโมเดลพารามิเตอร์ที่ต้องปรับเพื่อ optimize โมเดล ใน tutorial นี้ เราจะมาแนะนำ **k-Nearest Neighbors (k-NN)** ซึ่งเป็นตัวอย่างของ supervised machine learning algorithm ชนิด **non-parametric** กล่าวคือ k-NN algorithm เป็นโมเดลที่ไม่มีโมเดลพารามิเตอร์ ทำได้ทั้งการจำแนกหมวดหมู่ (classification) และ การทำนายค่า (regression) โดยอ้างอิงจากความใกล้ชิดของจุดข้อมูล (proximity) บน feature space ภายใต้สมมติฐานที่ว่า จะพบจุดข้อมูลที่คล้ายกันอยู่ใกล้กัน โดยใน tutorial นี้ เราจะแสดงการทำงานของโมเดลกับโจทย์การจำแนกหมวดหมู่\n","\n","\n","\n","[Slides: K Nearest Neighbors](https://github.com/ichatnun/brainCodeCamp2023_lectures/blob/main/MachineLearning/machine_learning_knn.pdf)\n","\n","
\n","\n","สมมติ ว่า เรามีจุดข้อมูลที่ต้องการทราบว่าอยู่ในคลาสไหน กระบวนการทำงานของ k-NN algorithm เริ่มต้นด้วยการค้นหาจุดข้อมูลเพื่อนบ้านจำนวน $k$ จุดที่อยู่ใกล้กับจุดข้อมูลที่สนใจมากที่สุด โดยพิจารณาจากระยะห่างระหว่างจุดข้อมูลที่สนใจและจุดข้อมูลเพื่อนบ้าน จากนั้นโมเดลจะทำนายคลาสของจุดที่สนใจจากผลโหวตของจุดข้อมูลเพื่อนบ้านที่ถูกคัดเลือกมาจำนวน k จุดนั้น"]},{"cell_type":"markdown","metadata":{"id":"8gfQ_iZKbUFa"},"source":["\n","\n","k-NN algorithm adapted from [ที่มา](https://blakelobato1.medium.com/k-nearest-neighbor-classifier-implement-homemade-class-compare-with-sklearn-import-6896f49b89e)"]},{"cell_type":"markdown","metadata":{"id":"xCTpr3jirWAg"},"source":["จากรูปตัวอย่างนี้ โมเดล k-NN กำหนดจำนวนจุดข้อมูลเพื่อนบ้าน $k=3$ ที่จะถูกใช้ในการโหวตเพื่อทำนายคลาสของจุดข้อมูลสีเหลือง โดยพบว่า ในวงเพื่อนบ้านทั้งสาม ประกอบด้วย class A จำนวน 1 จุดข้อมูล และ class B จำนวน 2 จุดข้อมูล ดังนั้น จุดข้อมูลสีเหลืองจะถูกทำนาย ว่า อยู่ใน class B\n","\n","ทั้งนี้ ในตัวอย่างนี้เป็นการคำนวณระยะห่างของจุดข้อมูลด้วย Euclidean distance แต่ยังมีการพิจารณาระยะห่างแบบอื่นๆ อีก ดังต่อไปนี้"]},{"cell_type":"markdown","metadata":{"id":"5a4UhFO8cPCN"},"source":["\n","\n","ที่มา [A brief introduction to Distance Measures](https://medium.com/mlearning-ai/a-brief-introduction-to-distance-measures-ac89cbd2298)"]},{"cell_type":"markdown","metadata":{"id":"Sqao_1LwVPmE"},"source":["สมมติว่า จุดข้อมูล 2 จุดบน feature space สามารถแทนด้วยเวกเตอร์ $\\vec{r_1}=(r_{1,1}, r_{1,2},..., r_{1,i},..., r_{1,m})$ และ $\\vec{r_2}=(r_{2,1}, r_{2,2},..., r_{2,i},..., r_{2,m})$ เมื่อ $m$ คือ จำนวน features การหาระยะห่างระหว่างจุดข้อมูลทั้งสองสามารถคำนวณได้หลายวิธี โดยเราจะยกตัวอย่าง 3 สมการหลักที่ใช้กันทั่วไป ได้แก่\n","\n","1. Euclidean Distance\n","\n","Euclidean distance คือระยะทางเป็นเส้นตรงระหว่างจุดสองจุดใน Euclidean space จึงสามารถคำนวณได้โดยใช้ทฤษฎีพีทาโกรัส (Pythagorean theorem)\n","\n","$$\n","d_{Euclidean}(\\vec{r_1},\\vec{r_2}) = \\sqrt{\\sum_{j=1}^{m} (r_{1,j} - r_{2,j})^2}\n","$$\n","\n","2. Manhattan Distance:\n","\n","Manhattan distance หรือที่รู้จักกันในอีกชื่อ taxicab distance เนื่องจากพัฒนามาจากแนวคิดที่ว่า ระยะห่างระหว่างจุดสองจุดสามารถหาได้จากเส้นตาราง (grid) แทนที่จะเป็นเส้นตรง เหมือนเวลาที่รถแท็กซี่ขับไปบนถนนจากจุดหนึ่งไปสู่อีกจุดหนึ่งบนเกาะ Manhattan ที่มีการวางผังถนนเป็นเส้นตรงตัดกัน ดังนั้น Manhattan distance คำนวณระยะห่างโดยรวมความแตกต่างสัมบูรณ์ของพิกัดระหว่างจุดสองจุด\n","\n","$$\n","d_{Manhattan}(\\vec{r_1},\\vec{r_2}) = \\sum_{j=1}^{m} |r_{1,j} - r_{2,j}|\n","$$\n","\n","3. Minkowski Distance\n","\n","Minkowski distance เป็นการ generalization ของ Euclidean distance และ Manhattan distance\n","\n","$$\n","d_{Minkowski}(\\vec{r_1},\\vec{r_2}) = \\sum_{j=1}^{m} \\big(|r_{1,j} - r_{2,j}|^p\\big)^{1/p}\n","$$\n","\n","พารามิเตอร์ $p\\ge1$ ใช้กำหนดรูปแบบของระยะทาง โดย\n","- เมื่อ $p=1$ Minkowski distance จะมีค่าเท่ากับ Manhattan distance\n","- เมื่อ $p=2$ Minkowski distance จะมีค่าเท่ากับ Euclidean distance\n","- เมื่อ $1
"]},"metadata":{},"output_type":"display_data"}],"source":["def generate_multi_class_dataset(n_classes, mean_class, std_class, n_samples):\n"," # สร้างชุดข้อมูลแบบ multi-class\n"," # ตั้งค่า random seed เพื่อให้สามารถสร้างชุดข้อมูลเดิมทุกครั้ง เพื่อใช้สำหรับการสอน\n"," np.random.seed(RANDOM_SEED)\n","\n"," # กำหนด จำนวน features\n"," n_features = 2\n","\n"," # สร้างข้อมูล x สำหรับแต่ละคลาส\n"," x_data = []\n"," for label in range(n_classes):\n"," _ = np.random.normal(mean_class[label], std_class[label], (n_samples, n_features))\n"," x_data.append(_)\n","\n"," # สร้างข้อมูล y หรือ labels สำหรับแต่ละคลาส\n"," y_data = []\n"," y_data.append(np.zeros(n_samples))\n"," for label in range(1, n_classes):\n"," y_data.append(label*np.ones(n_samples))\n","\n"," # รวมข้อมูล x และ y จากทุกคลาส\n"," x = np.vstack((x_data))\n"," y = np.hstack(y_data)\n","\n"," return x, y\n","\n","# ทดลองสร้างข้อมูลโดยการเรียกใช้ generate_multi_class_dataset\n","# กำหนด จำนวนคลาส\n","n_classes = 2\n","\n","# กำหนดช่วงค่า Mean และ standard deviation สำหรับแต่ละคลาส\n","mean_class = [[-2,-2], [2,2]]\n","std_class = [[0.5,0.5], [1.5,1.5]]\n","\n","# กำหนดจำนวนข้อมูล สำหรับแต่ละคลาส\n","n_samples = 100\n","\n","# ทำการสร้างชุดข้อมูล\n","x, y = generate_multi_class_dataset(n_classes, mean_class, std_class,n_samples)\n","\n","# Plot ข้อมูล x, y ที่มีอยู่\n","plt.figure(figsize = (5,5))\n","plt.scatter(x[y==0, 0], x[y==0, 1], c='b', label='Class 0')\n","plt.scatter(x[y==1, 0], x[y==1, 1], c='r', label='Class 1')\n","plt.xlabel('Feature 1')\n","plt.ylabel('Feature 2')\n","plt.title('Simulated Data for Binary Classification')\n","plt.legend()\n","plt.tight_layout()\n","plt.show()"]},{"cell_type":"markdown","metadata":{"id":"WTsmr07CpjLc"},"source":["## k-NN เมื่อปรับชนิด `'metric'` ที่ใช้คำนวณ distance ระหว่างจุดข้อมูล\n","\n","เราจะลองใช้ `metric` ที่แตกต่างกัน เพื่อดูผลของการจำแนกคลาสจาก decision boundary"]},{"cell_type":"code","execution_count":3,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":397},"executionInfo":{"elapsed":1539,"status":"ok","timestamp":1692639135338,"user":{"displayName":"Itthi Chatnuntawech","userId":"06267664527776052880"},"user_tz":-420},"id":"AuZFKc6Coe6A","outputId":"70ba60b2-cf67-4f16-afa1-04a57cac78ae"},"outputs":[{"data":{"image/png":"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","text/plain":["