python Programming Glossary: knn

OpenCV 2.4.1 - computing SURF descriptors in Python

http://stackoverflow.com/questions/10984313/opencv-2-4-1-computing-surf-descriptors-in-python

False # Setting up samples and responses for kNN samples np.array descritors responses np.arange len kp dtype.. descritors responses np.arange len kp dtype np.float32 # kNN training knn cv2.KNearest knn.train samples responses # Now..

http://stackoverflow.com/questions/13379909/compare-similarity-of-images-using-opencv-with-python

imgg kp # Setting up samples and responses for kNN samples np.array descritors responses np.arange len kp dtype.. descritors responses np.arange len kp dtype np.float32 # kNN training knn cv2.KNearest knn.train samples responses modelImages..

What are the important language features (idioms) of Python to learn early on

http://stackoverflow.com/questions/567251/what-are-the-important-language-features-idioms-of-python-to-learn-early-on

Finding k-nearest neighbors for a given vector?

http://stackoverflow.com/questions/5684370/finding-k-nearest-neighbors-for-a-given-vector

sorted x_c.iteritems key second reverse True 0 0 class kNN_classifier This is a k nearest neighbour classifer. def __init__.. train_data k 1 distf count_different_values Returns a kNN_classifer that contains the data the number of nearest neighbours.. of nearest neighbours k and the distance function return kNN_classifier train_data k distf also another implementation of..

Python machine-learning library?

http://stackoverflow.com/questions/7326958/python-machine-learning-library

is a particularly good choice. Scikits.learn includes kNN algorithms for both regression returns a score and classification.. module import numpy as NP from sklearn import neighbors as kNN # load one of the sklearn suppplied data sets from sklearn import.. # construct a classifier builder by instantiating the kNN module's primary class kNN1 kNN.NeighborsClassifier # now construct..

Why Python is so slow for a simple loop

http://stackoverflow.com/questions/8097408/why-python-is-so-slow-for-a-simple-loop

good for finding explanatory titles. We are making some kNN and SVD implementations and I use Python others picked Java...

General approach to developing an image classification algorithm for Dilbert cartoons

http://stackoverflow.com/questions/8108550/general-approach-to-developing-an-image-classification-algorithm-for-dilbert-car

network support vector machine SVM and k nearest neighbors kNN . Step 4 train validate and test your classifier Alternative..

OpenCV 2.4.1 - computing SURF descriptors in Python

http://stackoverflow.com/questions/10984313/opencv-2-4-1-computing-surf-descriptors-in-python

responses np.arange len kp dtype np.float32 # kNN training knn cv2.KNearest knn.train samples responses # Now loading a template.. len kp dtype np.float32 # kNN training knn cv2.KNearest knn.train samples responses # Now loading a template image and searching.. np.float32 .reshape 1 128 retval results neigh_resp dists knn.find_nearest des 1 res dist int results 0 0 dists 0 0 if dist..

http://stackoverflow.com/questions/13379909/compare-similarity-of-images-using-opencv-with-python

responses np.arange len kp dtype np.float32 # kNN training knn cv2.KNearest knn.train samples responses modelImages MEDIA_ROOT.. len kp dtype np.float32 # kNN training knn cv2.KNearest knn.train samples responses modelImages MEDIA_ROOT uploads imagerecognize.. np.float32 .reshape 1 128 retval results neigh_resp dists knn.find_nearest des 1 res dist int results 0 0 dists 0 0 if dist..

How do I resolve 'NoneType' object has no attribute 'write' error with scikit-learn digits dataset?

http://stackoverflow.com/questions/17139658/how-do-i-resolve-nonetype-object-has-no-attribute-write-error-with-scikit-le

Desktop scikit_exercise.py line 30 in module print knn.fit X_train y_train .score X_test y_test File C Python33 lib.. X_test X_digits .9 n_samples y_test y_digits .9 n_samples knn neighbors.KNeighborsClassifier logistic linear_model.LogisticRegression.. linear_model.LogisticRegression print 'KNN score f' knn.fit X_train y_train .score X_test y_test print 'LogisticRegression..

Suggestions on how to speed up a distance calculation

http://stackoverflow.com/questions/4239371/suggestions-on-how-to-speed-up-a-distance-calculation

of this class accounts for 90 of the running time of my knn implementation who would have thought . I do not think there.. is much slower. I could of course implement the entire knn in C and just call that but the problem is that like I described..

K nearest neighbour in python

http://stackoverflow.com/questions/5565935/k-nearest-neighbour-in-python

in python. what library should i use python scipy knn share improve this question I think that you should use..

Finding k-nearest neighbors for a given vector?

http://stackoverflow.com/questions/5684370/finding-k-nearest-neighbors-for-a-given-vector

that should be examined when doing the classification. knn kNN knn.classes set ys knn.xs numpy.asarray xs typecode knn.ys.. should be examined when doing the classification. knn kNN knn.classes set ys knn.xs numpy.asarray xs typecode knn.ys ys knn.k.. when doing the classification. knn kNN knn.classes set ys knn.xs numpy.asarray xs typecode knn.ys ys knn.k k return knn def..