{ "cells": [ { "cell_type": "markdown", "id": "c3edcae5", "metadata": { "editable": true }, "source": [ "" ] }, { "cell_type": "markdown", "id": "4102577e", "metadata": { "editable": true }, "source": [ "# Clustering and Unsupervised Learning\n", "\n", "In general terms cluster analysis, or clustering, is the task of grouping a\n", "data-set into different distinct categories based on some measure of equality of\n", "the data. This measure is often referred to as a **metric** or **similarity\n", "measure** in the literature (note: sometimes we deal with a **dissimilarity\n", "measure** instead). Usually, these metrics are formulated as some kind of\n", "distance function between points in a high-dimensional space.\n", "\n", "The simplest, and also the most\n", "common is the **Euclidean distance**.\n", "\n", "The simplest of all clustering algorithms is the **k-means algorithm**\n", ", sometimes also referred to as *Lloyds algorithm*. It is the simplest and also\n", "the most common. From its simplicity it obtains both strengths and weaknesses.\n", "These will be discussed in more detail later. The $k$-means algorithm is a\n", "**centroid based** clustering algorithm.\n", "\n", "Assume, we are given $n$ data points and we wish to split the data into $K < n$\n", "different categories, or clusters. We label each cluster by an integer" ] }, { "cell_type": "markdown", "id": "0deb3255", "metadata": { "editable": true }, "source": [ "$$\n", "k\\in\\{1, \\cdots, K \\}.\n", "$$" ] }, { "cell_type": "markdown", "id": "cfd8fe00", "metadata": { "editable": true }, "source": [ "In the basic k-means algorithm each point is assigned to only\n", "one cluster $k$, and these assignments are *non-injective* i.e. many-to-one. We\n", "can think of these mappings as an encoder $k = C(i)$, which assigns the $i$-th\n", "data-point $\\bf x_i$ to the $k$-th cluster.\n", "\n", "$k$-means algorithm in words:\n", "1. We start with guesses / random initializations of our $k$ cluster centers/centroids\n", "\n", "2. For each centroid the points that are most similar are identified\n", "\n", "3. Then we move / replace each centroid with a coordinate average of all the points that were assigned to that centroid.\n", "\n", "4. Iterate 2-3 until the centroids no longer move (to some tolerance)\n", "\n", "We assume we have $n$ data-points" ] }, { "cell_type": "markdown", "id": "a29b7459", "metadata": { "editable": true }, "source": [ "\n", "
\n", "\n", "$$\n", "\\begin{equation}\\label{eq:kmeanspoints} \\tag{1}\n", " \\boldsymbol{x_i} = \\{x_{i, 1}, \\cdots, x_{i, p}\\}\\in\\mathbb{R}^p.\n", "\\end{equation}\n", "$$" ] }, { "cell_type": "markdown", "id": "98f9e37b", "metadata": { "editable": true }, "source": [ "which we wish to group into $K < n$ clusters. For our dissimilarity measure we\n", "use the *squared Euclidean distance*" ] }, { "cell_type": "markdown", "id": "d3c32572", "metadata": { "editable": true }, "source": [ "\n", "\n", "\n", "$$\n", "\\begin{equation}\\label{eq:squaredeuclidean} \\tag{2}\n", " d(\\boldsymbol{x_i}, \\boldsymbol{x_i'}) = \\sum_{j=1}^p(x_{ij} - x_{i'j})^2\n", " = ||\\boldsymbol{x_i} - \\boldsymbol{x_{i'}}||^2\n", "\\end{equation}\n", "$$" ] }, { "cell_type": "markdown", "id": "29d24648", "metadata": { "editable": true }, "source": [ "We define the so called *within-cluster point scatter* which gives us a\n", "measure of how close each data point assigned to the same cluster tends to be to\n", "the all the others." ] }, { "cell_type": "markdown", "id": "fce5c797", "metadata": { "editable": true }, "source": [ "\n", "\n", "\n", "$$\n", "\\begin{equation}\\label{eq:withincluster} \\tag{3}\n", " W(C) = \\frac{1}{2}\\sum_{k=1}^K\\sum_{C(i)=k}\n", " \\sum_{C(i')=k}d(\\boldsymbol{x_i}, \\boldsymbol{x_{i'}}) =\n", " \\sum_{k=1}^KN_k\\sum_{C(i)=k}||\\boldsymbol{x_i} - \\boldsymbol{\\overline{x_k}}||^2\n", "\\end{equation}\n", "$$" ] }, { "cell_type": "markdown", "id": "674a26b7", "metadata": { "editable": true }, "source": [ "where $\\boldsymbol{\\overline{x_k}}$ is the mean vector associated with the $k$-th\n", "cluster, and $N_k = \\sum_{i=1}^nI(C(i) = k)$, where the $I()$ notation is\n", "similar to the Kronecker delta (*Commonly used in statistics, it just means that\n", "when $i = k$ we have the encoder $C(i)$*). In other words, the within-cluster\n", "scatter measures the compactness of each cluster with respect to the data points\n", "assigned to each cluster. This is the quantity that the $k$-means algorithm aims\n", "to minimize. We refer to this quantity $W(C)$ as the within cluster scatter\n", "because of its relation to the *total scatter*.\n", "\n", "We have" ] }, { "cell_type": "markdown", "id": "f200e7ff", "metadata": { "editable": true }, "source": [ "\n", "\n", "\n", "$$\n", "\\begin{equation}\\label{eq:totalscatter} \\tag{4}\n", " T = W(C) + B(C) = \\frac{1}{2}\\sum_{i=1}^n\n", " \\sum_{i'=1}^nd(\\boldsymbol{x_i}, \\boldsymbol{x_{i'}})\n", " = \\frac{1}{2}\\sum_{k=1}^K\\sum_{C(i)=k}\n", " \\Big(\\sum_{C(i') = k}d(\\boldsymbol{x_i}, \\boldsymbol{x_{i'}})\n", " + \\sum_{C(i')\\neq k}d(\\boldsymbol{x_i}, \\boldsymbol{x_{i'}})\\Big).\n", "\\end{equation}\n", "$$" ] }, { "cell_type": "markdown", "id": "5471a94d", "metadata": { "editable": true }, "source": [ "This is a quantity that is conserved throughout the $k$-means algorithm. It can\n", "be thought of as the total amount of information in the data, and it is composed\n", "of the aforementioned within-cluster scatter and the *between-cluster scatter*\n", "$B(C)$. In methods such as principle component analysis the total scatter is not\n", "conserved.\n", "\n", "Given a cluster mean $\\boldsymbol{m_k}$ we define the **total cluster variance**" ] }, { "cell_type": "markdown", "id": "299a99ce", "metadata": { "editable": true }, "source": [ "\n", "\n", "\n", "$$\n", "\\begin{equation}\\label{eq:totalclustervariance} \\tag{5}\n", " \\min_{C, \\{\\boldsymbol{m_k}\\}_1^K}\\sum_{k=1}^KN_k\\sum||\\boldsymbol{x_i} - \\boldsymbol{m_k}||^2\n", "\\end{equation}\n", "$$" ] }, { "cell_type": "markdown", "id": "bdfa54ee", "metadata": { "editable": true }, "source": [ "Now we have all the pieces necessary to formally revisit the $k$-means algorithm.\n", "\n", "The $k$-means clustering algorithm goes as follows \n", "\n", "1. For a given cluster assignment $C$, and $k$ cluster means $\\left\\{m_1, \\cdots, m_k\\right\\}$. We minimize the total cluster variance with respect to the cluster means $\\{m_k\\}$ yielding the means of the currently assigned clusters.\n", "\n", "2. Given a current set of $k$ means $\\{m_k\\}$ the total cluster variance is minimized by assigning each observation to the closest (current) cluster mean. That is $$C(i) = \\underset{1\\leq k\\leq K}{\\mathrm{argmin}} ||\\boldsymbol{x_i} - \\boldsymbol{m_k}||^2$$\n", "\n", "3. Steps 1 and 2 are repeated until the assignments do not change." ] }, { "cell_type": "markdown", "id": "f5def86c", "metadata": { "editable": true }, "source": [ "## Codes and Approaches\n", "\n", "1. Before we start we specify a number $k$ which is the number of clusters we want to try to separate our data into.\n", "\n", "2. We initially choose $k$ random data points in our data as our initial centroids, *or means* (this is where the name comes from).\n", "\n", "3. Assign each data point to their closest centroid, based on the squared Euclidean distance.\n", "\n", "4. For each of the $k$ cluster we update the centroid by calculating new mean values for all the data points in the cluster.\n", "\n", "5. Iteratively minimize the within cluster scatter by performing steps (3, 4) until the new assignments stop changing (can be to some tolerance) or until a maximum number of iterations have passed.\n", "\n", "Let us now program the most basic version of the algorithm using nothing but\n", "Python with numpy arrays. This code is kept intentionally simple to gradually\n", "progress our understanding. There is no vectorization of any kind, and even most\n", "helper functions are not utilized.\n", "\n", "We need first a dataset to do our cluster analysis on. In our case\n", "this is a plain *vanilla* data set using random numbers using a\n", "Gaussian distribution." ] }, { "cell_type": "code", "execution_count": 1, "id": "b0260188", "metadata": { "collapsed": false, "editable": true }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/jax/_src/lib/__init__.py:33: UserWarning: JAX on Mac ARM machines is experimental and minimally tested. Please see https://github.com/google/jax/issues/5501 in the event of problems.\n", " warnings.warn(\"JAX on Mac ARM machines is experimental and minimally tested. \"\n" ] } ], "source": [ "%matplotlib inline\n", "\n", "import time\n", "import numpy as np\n", "import tensorflow as tf\n", "from matplotlib import image\n", "import matplotlib.pyplot as plt\n", "from sklearn.cluster import KMeans\n", "from IPython.display import display\n", "\n", "np.random.seed(2021)" ] }, { "cell_type": "markdown", "id": "fe680e35", "metadata": { "editable": true }, "source": [ "Next we define functions, for ease of use later, to generate Gaussians and to\n", "set up our toy data set." ] }, { "cell_type": "code", "execution_count": 2, "id": "9db2bbce", "metadata": { "collapsed": false, "editable": true }, "outputs": [ { "data": { "image/png": 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\n", 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