This study aims at providing an increased understanding of tropical cyclone (TC) activity in the Philippines, to assist in reducing the fatalities and economic costs of TC impacts. A cluster analysis, using K-means, is applied to Philippine region TCs for the period 1950-2011. The clustering is carried out for TC genesis and decay locations, and TC tracks. Silhouette coefficient values and key meteorological and oceanic variables determine the optimal cluster numbers. It is found that, for the Philippine region, there are 4 genesis location, 5 decay location and 6 track clusters. The classification of TC genesis locations captures the longitudinal separation of cyclogenesis regions. The formation area east of the Philippines (west of 140°E) is the most active region, with 398 genesis points. The main TC dissipation area is Southeast Asia, with 352 decay points. Clustering the TC tracks identifies various track types by separating them into discrete patterns. Several distinct types of straight moving and recurving trajectories emerge. Short, straight west northwestward tracks directed towards Indochina have the highest trajectory frequency, with 248 TC tracks. The spatial and temporal behavior of Philippine TCs is determined from the clusters of genesis locations, decay locations, and tracks, for specific months. Because the TC genesis locations define the subsequent TC paths and landfall locations, they consequently also provide valuable TC forecasting guidance. Moreover, the monthly distribution of genesis and decay locations, and tracks, enables the variability of seasonal cycles between the clusters to be calculated. [16] applied an FMM-based clustering algorithm to TC tracks over China and identified three clusters. A probabilistic clustering method based on regression mixture models has grouped TCs over southwestern Indian Ocean, resulting in track shape groups [17]. Unlike K-means, the regression mixture model allows TC track clustering of varying shapes and lengths. Nakamura et al. [18] solved the problem of K-means by using the first and second moments of TC tracks to approximate the shape and lengths of tracks. The mass moments were then applied to K-means that demonstrated reliable clustering results for North Atlantic TC tracks, and produced an optimum of six clusters. Colbert [19] focus on TCs forming in the main North Atlantic development region (MDR). Their classification method for track types is based on defined threat regions that yield similar results to ref. [15,18]. The fuzzy c-means is another cluster method applied to TC tracks of Korean peninsula land falling TCs [20]. Kim [21] used the same method for the WNP and identified seven clusters as the optimal number. This