K-均值聚类法 0聚类是对数据空间中数据对象进行分类位于同一类中的数据对象之间的相似度较大而位于不同类之间的数据对象差异度较大聚类是一种无监督学习能自动对数据集进行划分常见的聚类算法：k-meansDBSCANCURE等算法 简单地讲聚类的结果就是得到数据集中数据对象的类别信息例如将以下几种物品玫瑰红枫松树老虎大象绵羊等进行聚类就应该得到

Click to edit Master title styleClick to edit Master text stylesSecond levelThird levelFourth levelFifth levelClustering… in GeneralIn vector space clusters are vectors found within e of a cluster vec

ClusteringInstructor: Qiang YangHong Kong University of Science and : . Han I. Witten E. Frank1EssentialsTerminology:Objects = rows = recordsVariables = attributes = featuresA good clustering method

Click to edit Master title styleClick to edit Master text stylesSecond levelThird levelFourth levelFifth levelClustering High Dimensional Data Using SVMTsau Young Lin and Tam NgoDepartment ofputer

Klicka h?r f?r att ?ndra formatKlicka h?r f?r att ?ndra format p? bakgrundstextenNiv? tv?Niv? treNiv? fyraNiv? femClusteringPetter MostadClustering vs. class predictionClass prediction: A learning set

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P5331OutlierPrepared by Raymond WongPresented by Raymond WongraywongcseOutlieputerHistoryRaymond10040Louis9045Wyman2095……puterHistoryCluster 1(. High Score inputer and Low Score in His

ClusteringQiang YangAdapted from Tan et al. and Han et MeasuresTan et Chapter 22Similarity and DissimilaritySimilarityNumerical measure of how alike two data objects higher when objects are more

Level Third Level? TanSteinbach Kumar Critical Issues with Respect to Clustering 4182004 Critical Issues with Respect to ClusteringLecture Notes for Chapter 8Introdu

??SALSAParallel Clustering of High-Dimensional Social Media Data Streams1Xiaoming Gao Emilio Ferrara Judy QiuSchool of Informatics andputingIndiana UniversityOutlineBackground and motivationSequ