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rec Downloaded：0: Split movielens dataset to trainset and test set
Date : 2025-05-14 Size : 2kb User : 章旭
kimag_fun Downloaded：0: image segmentation using k-means partitional clustering algorithm, matlab code
Date : 2025-05-14 Size : 1kb User : pavan
FastICA_21 Downloaded：0: FASTICA(mixedsig) estimates the independent components given multidimensional signals. Each row of matrix mixedsig is one observed signal. FASTICA uses Hyvarinen s fixed-point algorithm.
Date : 2025-05-14 Size : 39kb User : w
kmeans Downloaded：0: Mainly based on K-means clustering algorithm for converting color images to grayscale.
Date : 2025-05-14 Size : 415kb User : fangella
AdaBoost Downloaded：0: Adaboost is an iterative algorithm, the core idea is the same training set for training different classifiers (weak classifiers), then these weak classifiers together to form a stronger final classifier (strong classifie
Date : 2025-05-14 Size : 3kb User : 黑色地位
DTW Downloaded：0: In isolated word speech recognition, the most simple and effective method is to use DTW (Dynamic Time Warping, Dynamic Time whole) algorithm based on dynamic programming (DP) of thinking to solve the problem of template
Date : 2025-05-14 Size : 2kb User : 黑色地位
KNN Downloaded：0: Nearby algorithm, or K-nearest neighbor (kNN, k-NearestNeighbor) classification algorithm is one of classification data mining technology in the most simple way. The so-called K-nearest neighbor is the k nearest neighbor
Date : 2025-05-14 Size : 2kb User : 黑色地位
PCA Downloaded：0: Principal component analysis (Principal Component Analysis, PCA) or PCA. Is a statistical method to grasp the principal contradiction of things, it can be resolved diverse things out the main factors, revealing the essen
Date : 2025-05-14 Size : 3kb User : 黑色地位
SVM Downloaded：0: In the field of machine learning, support vector machine SVM (Support Vector Machine) is a supervised learning model, typically used for pattern recognition, classification, and regression analysis.
Date : 2025-05-14 Size : 9kb User : 黑色地位
随机森林文本分类 Downloaded：0: 在机器学习中，随机森林是一个包含多个决策树的分类器，并且其输出的类别是由个别树输出的类别的众数而定。 Leo Breiman和Adele Cutler发展出推论出随机森林的算法。而 "Random Forests" 是他们的商标。这个术语是1995年由贝尔实验室的Tin Kam Ho所提出的随机决策森林（random decision forests）而来的。这个方法则是结合 Breimans 的 "Bootstrap aggre
Date : 2015-04-26 Size : 5.52kb User : fuyinling
mlcompare Downloaded：0: Data Mining spam classification comparison
Date : 2025-05-14 Size : 934kb User : Grimadso
dataMIn Downloaded：0: Data Mining Retail Classification script
Date : 2025-05-14 Size : 1.62mb User : Grimadso

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